Text Segmentation – Meta-Guide.com

Notes:

Text segmentation is an important step in natural language processing (NLP) tasks, such as text summarization, language translation, and text classification. It is often the first step in these tasks because it allows the NLP algorithm to understand the structure and meaning of the text.

There are several ways to perform text segmentation, depending on the specific needs of the task. For example, word segmentation involves dividing a piece of text into individual words, while sentence segmentation involves dividing a piece of text into individual sentences.

In some cases, text segmentation may involve dividing a piece of text into larger units, such as paragraphs or topics. This can be useful for tasks such as text summarization, where the goal is to identify the most important information in a document.

Text segmentation can be challenging because it requires a deep understanding of the structure and meaning of language. It is also a task that is sensitive to context, as the same piece of text may be divided into different units depending on the context in which it is used.

Wikipedia:

Text segmentation

References:

Unsupervised Information Extraction by Text Segmentation (2013)

Fused text segmentation networks for multi-oriented scene text detection
Y Dai, Z Huang, Y Gao, Y Xu, K Chen… – 2018 24th …, 2018 – ieeexplore.ieee.org
In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective. We present Fused Text Segmentation Networks, which combine multi-level features during the feature …

Scene text detection and segmentation based on cascaded convolution neural networks
Y Tang, X Wu – IEEE transactions on image processing, 2017 – ieeexplore.ieee.org
… and segmentation approaches. Index Terms—Scene Text detection, scene text segmentation, text-aware candidate text region extraction, candidate text region refinement, candidate text region classification I. INTRODUCTION …

Text Segmentation and Event Detection
CC Aggarwal – Machine Learning for Text, 2018 – Springer
Text segmentation: The goal of text segmentation is to divide a single document into coherent linguistic or topical units. Linguistic segmentation corresponds to the segmentation into words, sentences, or paragraphs, and is often based on punctuation and language-specific …

Lexical text segmentation using dictionaries
SS Chawathe – 2018 IEEE 8th Annual Computing and …, 2018 – ieeexplore.ieee.org
Text segmentation refers to the task of partitioning text into disjoint segments based on some matching and optimization criteria. Examples include partitioning text into words, graphemes, and phonemes. The problem is especially challenging when the language does …

Text segmentation as a supervised learning task
O Koshorek, A Cohen, N Mor, M Rotman… – arXiv preprint arXiv …, 2018 – arxiv.org
Text segmentation, the task of dividing a document into contiguous segments based on its semantic structure, is a longstanding challenge in language understanding. Previous work on text segmentation focused on unsupervised methods such as clustering or graph search …

3D text segmentation and recognition using leap motion
P Kumar, R Saini, PP Roy, DP Dogra – Multimedia tools and applications, 2017 – Springer
In this paper, we present a method of Human-Computer-Interaction (HCI) through 3D air-writing. Our proposed method includes a natural way of interaction without pen and paper. The online texts are drawn on air by 3D gestures using fingertip within the field of view of a …

Text segmentation on multilabel documents: A distant-supervised approach
S Manchanda, G Karypis – 2018 IEEE International Conference …, 2018 – ieeexplore.ieee.org
Segmenting text into semantically coherent segments is an important task with applications in information retrieval and text summarization. Developing accurate topical segmentation requires the availability of training data with ground truth information at the segment level …

Text segmentation of health examination item based on character statistics and information measurement
H An, D Wang, Z Pan, M Chen, X Wang – CAAI Transactions on Intelligence …, 2018 – IET
This study explores the segmentation algorithm of item text data, especially of single long length data in health examination. In the specific implementation, a large amount of historical health examination data is analysed. Using the method of character statistics, the …

Evaluation of clinical text segmentation to facilitate cohort retrieval
T Edinger, D Demner-Fushman, AM Cohen… – AMIA Annual …, 2017 – ncbi.nlm.nih.gov
Objective: Secondary use of electronic health record (EHR) data is enabled by accurate and complete retrieval of the relevant patient cohort, which requires searching both structured and unstructured data. Clinical text poses difficulties to searching, although chart notes …

SegBot: A Generic Neural Text Segmentation Model with Pointer Network.
J Li, A Sun, SR Joty – IJCAI, 2018 – researchgate.net
Text segmentation is a fundamental task in natural language processing that comes in two levels of granularity:(i) segmenting a document into a sequence of topical segments (topic segmentation), and (ii) segmenting a sentence into a sequence of elementary discourse …

Protein Word Detection using Text Segmentation Techniques
D Ganesan, AV Tendulkar, S Chakraborti – BioNLP 2017, 2017 – aclweb.org
Abstract Literature in Molecular Biology is abundant with linguistic metaphors. There have been works in the past that attempt to draw parallels between linguistics and biology, driven by the fundamental premise that proteins have a language of their own. Since word …

Unsupervised text segmentation based on native language characteristics
S Malmasi, M Dras, M Johnson, L Du… – Proceedings of the 55th …, 2017 – aclweb.org
Most work on segmenting text does so on the basis of topic changes, but it can be of interest to segment by other, stylistically expressed characteristics such as change of authorship or native language. We propose a Bayesian unsupervised text segmentation approach to the …

Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network
J Jo, HI Koo, JW Soh, NI Cho – arXiv preprint arXiv:1906.05229, 2019 – arxiv.org
We present a new handwritten text segmentation method by training a convolutional neural network (CNN) in an end-to-end manner. Many conventional methods addressed this problem by extracting connected components and then classifying them. However, this two …

Protein Word Detection using Text Segmentation Techniques
G Devi, AV Tendulkar, S Chakraborti – 2017 – ai.google
Abstract Literature in Molecular Biology is abundant with linguistic metaphors. In particular, there have been works in the past that attempt to draw parallels between linguistics and biology, driven by the fundamental premise that proteins have a language of their own …

A hybrid text line segmentation approach for the ancient handwritten unconstrained freestyle Modi script documents
MS Deshmukh, MP Patil, SR Kolhe – The Imaging Science Journal, 2018 – Taylor & Francis
Page 1. RESEARCH ARTICLE A hybrid text line segmentation approach for the ancient handwritten unconstrained freestyle Modi script documents Manisha S. Deshmukh , Manoj P. Patil and Satish R. Kolhe School of Computer …

Multi-oriented scene text detection via corner localization and region segmentation
P Lyu, C Yao, W Wu, S Yan… – Proceedings of the IEEE …, 2018 – openaccess.thecvf.com
… conducted in [56, 54]. Inspired by InstanceFCN [9], we use position-sensitive segmentation to generate text segmentation maps. Com- pared with previous text segmentation methods, relative po- sitions are generated. In detail, for a …

Text Segmentation
T Jo – Text Mining, 2019 – Springer
This chapter is concerned with text segmentation which is another text mining task. We define the text segmentation conceptually in Sect. 14.1 and explore the types of text segmentation in Sect. 14.2. In Sect. 14.3, we describe the simple and state-of-the-art approaches to text …

Text segmentation techniques: a critical review
I Pak, PL Teh – Innovative Computing, Optimization and Its …, 2018 – Springer
Text segmentation is a method of splitting a document into smaller parts, which is usually called segments. It is widely used in text processing. Each segment has its relevant meaning. Those segments categorized as word, sentence, topic, phrase or any information …

Curve Text Detection with Local Segmentation Network and Curve Connection
Z Zhou, S Wu, S Kong, Y Zheng, H Ye, L Chen… – arXiv preprint arXiv …, 2019 – arxiv.org
… curved forms. The LSN is composed of two elements, ie, proposal generation to get the horizontal rectangle proposals with high overlap with text and text segmentation to find the arbitrary shape text region within proposals. The …

Offline Extraction of Indic Regional Language from Natural Scene Image Using Text Segmentation and Deep Convolutional Sequence
S Nag, PK Ganguly, S Roy, S Jha, K Bose… – … and Application Issues …, 2018 – Springer
Regional language extraction from a natural scene image is always a challenging proposition due to its dependence on the text information extracted from Image. Text Extraction on the other hand varies on different lighting condition, arbitrary orientation …

Zone Segmentation of a Text Line Printed in Gurmukhi Script Newspaper
RP Kaur, MK Jindal, M Kumar – 2018 Fifth International …, 2018 – ieeexplore.ieee.org
… So, text processing is required for making searching possible on the text and also indexing of headlines. To recognize any text, segmentation of text into individual line is an important phase … which need to be segmented before text segmentation and recognition …

A domain-independent text segmentation method for educational course content
Y Tu, Y Xiong, W Chen, C Brinton – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
In this study, we have proposed a domain-independent text segmentation algorithm which is particularly useful in online educational courses. Text segmentation is proven to be helpful in improving the readability of large corpora of documents, which is essential in education …

Robust and accurate text stroke segmentation
S Qin, P Ren, S Kim, R Manduchi – 2018 IEEE Winter …, 2018 – ieeexplore.ieee.org
… A num- ber of algorithms, based on image brightness threshold- ing , have been developed, beginning with Otsu’ seminal work[28, 27, 32, 35, 9]. These techniques achieve good performance on scanned documents, but often fail on scene text segmentation, due in part to the …

Scene text segmentation using low variation extremal regions and sorting based character grouping
M Šari? – Neurocomputing, 2017 – Elsevier
Extraction of textual information from natural scene images is a challenging task due to imaging conditions and diversity of text properties. Segmentation of scene text is important step in the pipeline that significantly affects the final recognition performance. In this paper I …

The impact of text segmentation on subtitle reading
O Gerber-Morón, A Szarkowska… – Journal of Eye Movement …, 2018 – discovery.ucl.ac.uk
In this paper we address the question whether shot changes trigger the re-reading of subtitles. Although it has been accepted in the professional literature on subtitling that subtitles should not be displayed over shot changes as they induce subtitle re-reading …

On-device text segmentation and user interface with multiple paste options
M Sharifi, K Naliuka, J Althaus – 2017 – tdcommons.org
With user permission, on-device text segmentation, eg, using neural networks, is performed to identify segments within selected text, eg, contents of a clipboard. The identified segments are provided in a user interface to enable users to perform corresponding actions. For …

Text Segmentation On Photorealistic Images
V Grishkin, A Ebral, N Stepenko, J Sene – networks, 2018 – ceur-ws.org
The paper proposes an algorithm for segmentation of text, applied or presented in photorealistic images, characterized by a complex background. The algorithm is able to determine the exact location of image regions containing text. It implements the method for …

Long text segmentation by string vector based KNN
T Jo – 2017 19th International Conference on Advanced …, 2017 – ieeexplore.ieee.org
In this research, we propose the string vector based version of KNN as the approach to the text segmentation. The text segmentation may be interpreted into the text classification, and encoding texts into string vectors improved previously the text classification performance. In …

Largest chunks as short text segmentation strategy: a cross-linguistic study
L Drienkó, A Wallington, A Foltz, J Ryan – UK-CLC 2016, 2017 – ukclc2016.bangor.ac.uk
31 Largest chunks as short text segmentation strategy: a cross-linguistic study László Drienkó dri@ t-online. hu Based on findings on short text segmentation, our work aims to draw attention to a distributional dimension of speech segmentation. Using the algorithm of Drienkó (2016) …

Does semantic knowledge influence event segmentation and recall of text?
KM Newberry, HR Bailey – Memory & cognition, 2019 – Springer
Page 1. Does semantic knowledge influence event segmentation and recall of text? Kimberly M. Newberry1 & Heather R. Bailey1 © The Psychonomic Society, Inc. 2019 Abstract Knowledge benefits episodic memory, particularly …

Complex Text Location and Segmentation Approach through Region Fusion and Edge Features Extraction Method
F Cai, YM Luo, PZ Liu, HM Feng – Journal of Applied Science and …, 2018 – tku.edu.tw
… important technology for marking the image automatically. The traditional text segmentation method is difficult to obtain the ideal result in the text segmentation of complex background images. According to the features of complex …

Scene Text Component Segmentation Using Hierarchical Distance Slicing
P Sengupta, A Faruk Mollah – International Journal of …, 2019 – papers.ssrn.com
… While there are several approaches for character segmentation, only a few works on scene text segmentation are found in literature. Sambyal et al. [4] proposed a character segmentation technique based on connected component method …

Cnn-iets: A cnn-based probabilistic approach for information extraction by text segmentation
M Hu, Z Li, Y Shen, A Liu, G Liu, K Zheng… – Proceedings of the 2017 …, 2017 – dl.acm.org
Abstract Information Extraction by Text Segmentation (IETS) aims at segmenting text inputs to extract implicit data values contained in them. The state-of-art IETS approaches mainly rely on machine learning techniques, either supervised or unsupervised. However, while the …

Attention-based neural text segmentation
P Badjatiya, LJ Kurisinkel, M Gupta… – European Conference on …, 2018 – Springer
Text segmentation plays an important role in various Natural Language Processing (NLP) tasks like summarization, context understanding, document indexing and document noise removal. Previous methods for this task require manual feature engineering, huge memory …

Text segmentation using superpixel clustering
Y Zhu, K Zhang – IET Image Processing, 2017 – IET
Text segmentation is important for text image analysis and recognition; however, it is challenging due to noise and complex background in natural scenes. Superpixel-based image representation can enhance robustness to noise and local disturbances, but …

COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation
S Bonechi, P Andreini, M Bianchini… – arXiv preprint arXiv …, 2019 – arxiv.org
The absence of large scale datasets with pixel-level supervisions is a significant obstacle for the training of deep convolutional networks for scene text segmentation. For this reason, synthetic data generation is normally employed to enlarge the training dataset. Nonetheless …

Scene Text Detection with Recurrent Instance Segmentation
W Feng, WH He, F Yin, CL Liu – 2018 24th International …, 2018 – ieeexplore.ieee.org
… III. METHODOLOGY A. Network Architecture The proposed framework is diagrammed in Figure 2. The framework consists of two major parts: a FCN for text segmentation (text/non-text classification) and a RNN for text instance segmentation and bounding box regression …

Using K Nearest Neighbors for text segmentation with feature similarity
T Jo – 2017 International Conference on Communication …, 2017 – ieeexplore.ieee.org
In this research, we propose the version of K Nearest Neighbor which considers similarity among attributes for computing the similarity between feature vectors. The text segmentation task is viewed into the binary classification where each pair of sentences or paragraphs is …

Grayscale-projection based Optimal Character Segmentation for Camera-captured Faint Text Recognition
F Jia, C Shi, Y Wang, C Wang… – 2017 14th IAPR …, 2017 – ieeexplore.ieee.org
… We collect a faint text recognition dataset and evaluate our method on it. Experimental results show that our method outperforms the binary-projection method and the convolutional recurrent neural network approach in terms of text segmentation and recognition accuracy …

Handwritten text line segmentation using fully convolutional network
G Renton, C Chatelain, S Adam… – 2017 14th IAPR …, 2017 – ieeexplore.ieee.org
… [2] B. Moysset, C. Kermorvant, C. Wolf, and J. Louradour, “Paragraph text segmentation into lines with recurrent neural networks,” in International Conference on Document Analysis and Recognition. IEEE, 2015, pp. 456–460 …

Interest Recognition from Online Instant Messaging Sessions Using Text Segmentation and Document Embedding Techniques
H Lee, Y Yoon – 2018 IEEE International Conference on …, 2018 – ieeexplore.ieee.org
In this paper, we present techniques for recognizing users’ interest from online instant messages for more timely and user-friendly targeted advertisement. We devise three text segmentation methods to identify blocks of utterances in an instant messaging session that …

A new hybrid method for Arabic multi-font text segmentation, and a reference corpus construction
A Zoizou, A Zarghili, I Chaker – Journal of King Saud University-Computer …, 2018 – Elsevier
In analytical systems of Arabic text recognition, segmentation is a critical and decisive stage. In this stage, words after being extracted from the text document are segmented into individual characters to allow the feature extraction and classification. The absence of …

A Novel Approach of Augmenting Training Data for Legal Text Segmentation by Leveraging Domain
RS Wagh, D Anand – … and Applications: Proceedings of ISTA 2018, 2019 – books.google.com
In this era of information overload, text segmentation can be used effectively to locate and extract information specific to users’ need within the huge collection of documents. Text segmentation refers to the task of dividing a document into smaller labeled text fragments …

An improved method for text segmentation and skew normalization of handwriting image
A Bal, R Saha – Progress in Intelligent Computing Techniques: Theory …, 2018 – Springer
This paper proposed an off-line cursive handwriting segmentation method and an efficient skew normalization process of the handwritten document. The proposed segmentation method based on horizontal and vertical projection, which has been already used for …

A Novel Approach of Augmenting Training Data for Legal Text Segmentation by Leveraging Domain Knowledge
RS Wagh, D Anand – Intelligent Systems, Technologies and Applications, 2020 – Springer
In this era of information overload, text segmentation can be used effectively to locate and extract information specific to users’ need within the huge collection of documents. Text segmentation refers to the task of dividing a document into smaller labeled text fragments …

Graph Based KNN for Text Segmentation
T Jo – 2017 International Conference on Computational …, 2017 – ieeexplore.ieee.org
In this research, we propose that the graph based KNN should be applied to the text segmentation task, as well as other tasks of text mining. The text segmentation may be interpreted into the binary task of texts where each pair of adjacent sentences or paragraphs …

Line and ligature segmentation of urdu nastaleeq text
I Ahmad, X Wang, R Li, M Ahmed, R Ullah – IEEE Access, 2017 – ieeexplore.ieee.org
… Thus, both of the proposed segmentation algorithms outperform the existing algorithms employed for Urdu Nastaleeq text segmentation … INDEX TERMS Urdu text segmentation, Nastaleeq script segmentation, line and ligature segmentation, preprocessing …

Text area segmentation from document images by novel adaptive thresholding and template matching using texture cues
S Susan, KMR Devi – Pattern Analysis and Applications, 2019 – Springer
… using the 1-nearest-neighbor classifier in [31] (98.845% for 64,800 scaled, rotated and differently lighted monochrome Brodatz texture samples) are the reason for our choice of the DTTF (source code online [38]) in our current experiment on text segmentation from document …

Employing CNN to Identify Noisy Documents Thereafter Accomplishing Text Line Segmentation
B Seraogi, S Das, P Banerjee… – TENCON 2018-2018 …, 2018 – ieeexplore.ieee.org
… We shall include these problems in our future scope of work. REFERENCES [1] A. Kavitha, P. Shivakumara, GH Kumar and T. Lu, “Text Segmentation in Degraded Historical Document Images,” in the Proceedings of Egyptian Informatics Journal, pp. 189-197, 2016 …

Attention-Based Neural Text Segmentation
V Varma – Advances in Information Retrieval: 40th European …, 2018 – books.google.com
Text segmentation plays an important role in various Natural Language Processing (NLP) tasks like summarization, context understanding, document indexing and document noise removal. Previous methods for this task require manual feature engineering, huge memory …

eLL: Enhanced Linked List—An Approach for Handwritten Text Segmentation
M Yashoda, SK Niranjan, VNM Aradhya – Information Systems Design and …, 2018 – Springer
In document image analysis, the interesting and challenging lie in textline segmentation of handwritten documents. This work emphasizes on developing an enhanced handwritten textline segmentation technique based on the concept of linked list. The proposed system …

A Variance Based Image Binarization Scheme and Its Application in Text Segmentation
R Ghoshal, A Saha, S Das – International Conference on Pattern …, 2017 – Springer
This paper presents a novel variance based image binarization scheme for automatic segmentation of text from low resolution images. First, the variance based binarization scheme is separately carried out on the three color planes of the image. Then, we merge …

A Novel Segmentation Technique for Urdu Type-Written Text
A Mahmood, A Srivastava – 2018 Recent Advances on …, 2018 – ieeexplore.ieee.org
… Abstract— Text segmentation is a process of subdividing the text image into its constituent parts, such as text lines, words and isolated characters … The problem of automatic text segmentation algorithms is increasingly becoming an important issue …

C-HTS: A Concept-based Hierarchical Text Segmentation approach
M Bayomi, S Lawless – … of the Eleventh International Conference on …, 2018 – aclweb.org
Abstract Hierarchical Text Segmentation is the task of building a hierarchical structure out of text to reflect its sub-topic hierarchy. Current text segmentation approaches are based upon using lexical and/or syntactic similarity to identify the coherent segments of text. However …

Combining Information Extraction and Text Segmentation methods in Greek Texts.
P Fragkou – Artif. Intell. Research, 2018 – researchgate.net
This paper leverages semantic information that is elicited from information extraction techniques, to text segmentation algorithms. The purpose here is to examine whether semantic information boosts segmentation accuracy. Present study is performed in a Greek …

Information Bottleneck Inspired Method For Chat Text Segmentation
S Vishal, M Yadav, L Vig, G Shroff – Proceedings of the Eighth …, 2017 – aclweb.org
We present a novel technique for segmenting chat conversations using the information bottleneck method (Tishby et al., 2000), augmented with sequential continuity constraints. Furthermore, we utilize critical non-textual clues such as time between two consecutive …

Scene text segmentation based on redundant representation of character candidates
M Saric – 2017 – otik.uk.zcu.cz
Text segmentation is important step in extraction of textual information from natural scene images. This paper proposes novel method for generation of character candidate regions based on redundant representation of subpaths in extremal regions (ER) tree. These …

Fully convolutional network with dilated convolutions for handwritten text line segmentation
G Renton, Y Soullard, C Chatelain, S Adam… – International Journal on …, 2018 – Springer
… stop. In: ICDAR (2017)Google Scholar. 17. Moysset, B., Kermorvant, C., Wolf, C., Louradour, J.: Paragraph text segmentation into lines with recurrent neural networks. In: ICDAR, pp. 456–460 (2015)Google Scholar. 18. Moysset …

Neural Text Line Segmentation of Multilingual Print and Handwriting with Recognition-Based Evaluation
P Schone, C Hargraves, J Morrey… – … on Frontiers in …, 2018 – ieeexplore.ieee.org
… TABLE I. RECOGNITION ACCURACIES BASED ON LINES FROM VARIOUS TEXT SEGMENTATION ALGORITHMS PLUS ASSOCIATED OBSERVATIONS Word Accuracies (100%-WER) Per Dataset by Configuration (and line segmentation cost in minutes/number of …

Scene text segmentation based on local image phase information and mser method
J Diaz-Escobar, V Kober – Mexican Conference on Pattern Recognition, 2018 – Springer
The objective of text segmentation algorithms is a pixel-level separation of characters from the image background. This task is difficult due to several factors such as environmental aspects, image acquisition problems, and complex textual content. Up to now, the MSER …

A bottom up procedure for text line segmentation of latin script
H Jain, AP Kumar – 2017 International Conference on Advances …, 2017 – ieeexplore.ieee.org
… VI. EXPERIMENTAL RESULTS Experiments were performed on 400 images with 7641 lines selected from the ICDAR 2009 text segmentation contest dataset [11], ICFHR 2010 text segmentation contest dataset benchmarking dataset [16], and ICDAR 2013 text segmentation …

Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts
M Alberti, L Vögtlin, V Pondenkandath, M Seuret… – arXiv preprint arXiv …, 2019 – arxiv.org
… A significantly more efficient approach for text segmentation of historical document images is the use of seam carving [9]. Seam carving consists of computing seams that attempt to separate text-lines; cutting ascenders and descenders if necessary …

Manuscript Text Line Detection and Segmentation Using Second-Order Derivatives
D Aldavert, M Rusiñol – 2018 13th IAPR International Workshop …, 2018 – ieeexplore.ieee.org
… separation between the text lines. C. Text Segmentation The algorithm so far has only detected the center of the lines, a text line height given by the Gaussian filter and the separation between lines. This parameters can be used …

K-NN Based Text Segmentation from Digital Images Using a New Binarization Scheme
R Ghoshal, S Das, A Saha – International Conference on Computational …, 2017 – Springer
Text segmentation in digital images is requisite for many image analysis and interpretation tasks. In this article, we have proposed an effective binarization method towards text segmentation in digital images. This method produces a number of connected components …

Study of sign segmentation in the text of Chinese sign language
D Yao, M Jiang, Y Huang, A Abulizi, H Li – Universal Access in the …, 2017 – Springer
… A combination of rule- and statistics-based methods can be used to satisfy the requirements of CSL text segmentation. The high flexibility, free combination of new words, and trademark names bring new challenges to the accuracy of text segmentation of sign language …

Segmentation and extraction of text from curved text lines using image processing approach
MA Shejwal, SD Bharkad – 2017 International Conference on …, 2017 – ieeexplore.ieee.org
… This paper presents the method based on image processing algorithms for segmentation and extraction of characters from curled text lines from document images. The algorithm performs the curved text segmentation using x-line and base line …

Scene text segmentation based on redundant representation of character candidates
M Šari? – 25th International Conference on Computer Graphics …, 2017 – bib.irb.hr
Text segmentation is important step in extraction of textual information from natural scene images. This paper proposes novel method for generation of character candidate regions based on redundant representation of subpaths in extremal regions (ER) tree. These …

GISCA: Gradient-Inductive Segmentation Network With Contextual Attention for Scene Text Detection
M Cao, Y Zou, D Yang, C Liu – IEEE Access, 2019 – ieeexplore.ieee.org
… ICDAR 2015 and MSRA TD500 respectively. INDEX TERMS Scene text detection, multi-oriented text, segmentation network, contextual attention, gradient vanishing/exploding problems I. INTRODUCTION SCENE text is one …

Cutting Sayre’s Knot: Reading Scene Text without Segmentation. Application to Utility Meters
L Gómez, M Rusinol, D Karatzas – 2018 13th IAPR International …, 2018 – ieeexplore.ieee.org
Page 1. Cutting Sayre’s Knot: Reading Scene Text without Segmentation. Application to Utility Meters. Llu?s Gómez, Marçal Rusi˜nol and Dimosthenis Karatzas Computer Vision Center, Dept. Ci`encies de la Computació Edifici O, Univ …

Text Line Segmentation for Challenging Handwritten Document Images using Fully Convolutional Network
B Barakat, A Droby, M Kassis… – 2018 16th International …, 2018 – ieeexplore.ieee.org
… Springer, 2014, pp. 349–358. [10] B. Moysset, C. Kermorvant, C. Wolf, and J. Louradour, “Paragraph text segmentation into lines with recurrent neural networks,” in Document Analysis and Recognition (ICDAR), 2015 13th International Conference on. IEEE, 2015, pp. 456–460 …

Handwritten text line segmentation by spectral clustering
X Han, H Yao, G Zhong – Eighth International Conference on …, 2017 – spiedigitallibrary.org
… Based on the idea of [5] and [6], we adopt the spectral clustering algorithm to improve the text segmentation accuracy and efficiency [7]. Compared with the “traditional algorithms” such as k-means method, spectral clustering has many outstanding advantages just like delivering …

Scene Text Segmentation and Recognition by Applying Trimmed Median Filter Using Energetic Edge Detection Schemes and OCR
MKJ Kumar – Journal of Network Communications and Emerging …, 2017 – jncet.org
This proposed method is an accurate and strong method for detecting texts in natural scene images. There are many cases that text regions are not clearly notable by background regions due to brightness or illumination variations. The proposed scene text finding process …

TextMountain: Accurate Scene Text Detection via Instance Segmentation
Y Zhu, J Du – arXiv preprint arXiv:1811.12786, 2018 – arxiv.org
… In order to make recognition easier, [28] proposes TextSnake which can effectively represent text lines in curved form and straighten curved text lines. Segmentation based method: FCN [27] is widely used to generate text segmentation map …

A novel method of text line segmentation for historical document image of the uchen Tibetan
Z Li, W Wang, Y Chen, Y Hao – Journal of Visual Communication and …, 2019 – Elsevier
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A segmentation algorithm based on image projection for complex text layout
W Zhu, Q Chen, C Wei, Z Li – AIP Conference Proceedings, 2017 – aip.scitation.org
… From Fig. (c) Shows that part of the bold text segmentation is also out. Because these bold text also has a large number of pixels, Features similar to image area, Can be divided into the area. But some bold text is divided into the part of 030011-6 Page 7 …

Interval type-2 fuzzy set and human vision based multi-scale geometric analysis for text-graphics segmentation
S Dhar, MK Kundu – Multimedia Tools and Applications, 2019 – Springer
Page 1. Multimedia Tools and Applications https://doi.org/10.1007/s11042-019-7649- 6 Interval type-2 fuzzy set and human vision based multi-scale geometric analysis for text-graphics segmentation Soumyadip Dhar1 ·Malay K. Kundu2 …

Effective Printed Tamil Text Segmentation and Recognition Using Bayesian Classifier
S Manisha, TS Sharmila – Computational Intelligence in Data Mining, 2017 – Springer
Text segmentation and recognition of Indian languages have gained a lot of research interest in the recent years. The existence of a huge number of symbols and varying characteristics in these languages makes segmentation and extraction of text a challenging …

Text Detection with Deep Neural Network System Based on Overlapped Labels and a Hierarchical Segmentation of Feature Maps
HH Kim, JH Jo, Z Teng, DJ Kang – International Journal of Control …, 2019 – Springer
… Pixels corresponding to the text areas have a high probability value and the property of be- ing adjacent to each other, and they are clustered at the top. This method is more effective for text segmentation than the binary segmentation technique using a certain thresh- old. Fig …

Text segmentation method applied for handwritten Chinese characters recognition
X LEI, J LI, Y SONG, L SAI – Intelligent Computer and Applications, 2018 – en.cnki.com.cn
In this paper, a text segmentation method for handwritten Chinese characters is developed, which fills in the blank of text line segmentation in the field of Chinese character recognition. In this method, the pretreatment of the text image is pooled. Then, using the method of …

Efficient Algorithms for Text Lines and Words Segmentation for Recognition of Arabic Handwritten Script
AAA Ali, M Suresha – Emerging Research in Computing, Information …, 2019 – Springer
… allocated. In [8], the algorithm in this technique shows a new algorithm for automatic line of the text segmentation from Arabic handwritten documents, presenting the problems of a multi-touching and an overlapping characters. Using …

A Multi-Oriented Scene Text Detector with Position-Sensitive Segmentation
P Cheng, W Wang – Proceedings of the 2018 ACM on International …, 2018 – dl.acm.org
… The segmentation based methods, inspired by semantic segmentation [22, 37], exploit the Fully Convolu- tional Network (FCN) to generate text segmentation maps, then cluster the salient pixels into characters and go through several steps to obtain the final detection results …

Sub-sampling Approach for Unconstrained Arabic Scene Text Analysis by Implicit Segmentation based Deep Learning Classifier
SB Ahmed, Z Malik, MI Razzak… – Global Journal of …, 2019 – computerresearch.org
Page 1. © 2019. Saad Bin Ahmed, Zainab Malik, Muhammad Imran Razzak & Rubiyah Yusof. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License …

Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving
M Daldali, A Souhar – IJIMAI, 2019 – dialnet.unirioja.es
… Even if our focus in this paper was on Arabic text segmentation, this method is language independent. Tests on a public database of 123 handwritten Arabic documents showed a line detection rate of 97.5% for a matching score of 90 …

The Algorithms for Segmentation of Text-Lines in Handwriting Images
H Liulei, K Moydin, A Dawut… – 2018 3rd International …, 2018 – ieeexplore.ieee.org
… Ayman Al-Dmour and Fares Fraij use the already well- developed horizontal projection method to perform handwritten Arabic text segmentation [9], which is better for handwritten text images with well-written and large line spacing …

Character Component Segmentation and Categorization of Machine Printed Text in Devanagari (Nepali) Script in Digital Image Processing
V Joshi, SP Panday – 2018 IEEE 3rd International Conference …, 2018 – ieeexplore.ieee.org
… Many of researchers identified conjuncts as problem and proposed models to extract constituent character form conjunct while touching. Following table shows some existing text segmentation approach for Devanagari Script …

Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform.
A Souhar, Y Boulid, EB Ameur… – International Journal of …, 2017 – researchgate.net
… 1. Projection Profile One of the most used methods in text segmentation is called Projection Profile. Horizontal projection profile produces an histogram that represents for each line in the image: the number of black pixels [17, 18], the number of transitions black to white [19] …

Character segmentation in text line via convolutional neural network
X Li, X Zhang, B Yang, S Xia – 2017 4th International …, 2017 – ieeexplore.ieee.org
… 8). To deal with these issues, some algorithms have been proposed. For example, Jain et al [5] introduced Gabor filters for text segmentation … [5] Anil K. Jain and Sushil Bhattacharjee. Text segmentation using gabor filters for automatic document processing …

Research on Text Line Segmentation of Historical Tibetan Documents Based on the Connected Component Analysis
Y Wang, W Wang, Z Li, Y Han, X Wang – Chinese Conference on Pattern …, 2018 – Springer
… The connected component’s attribution is decided by analyzing the location and shape. The method is suitable for text segmentation from complex layout document image and can overcome the slightly fluctuation of text line …

Enhancing Scene Text Detection via Fused Semantic Segmentation Network with Attention
C Liu, Y Zou, D Yang – International Conference on Multimedia Modeling, 2019 – Springer
… In: IEEE International Conference on Computer Vision, pp. 3066–3074 (2017)Google Scholar. 3. Dai, Y., Huang, Z., Gao, Y., Chen, K.: Fused text segmentation networks for multi-oriented scene text detection (2017)Google Scholar …

WORD SEGMENTATION FOR IMAGES WITH UNCONSTRAINED TEXT
H Jain – 2017 – h-jain.com
… initials, can be removed using knowledge about the shape, the color or the position of these elements. Extracting text from figures (text segmentation) can also be performed on texture grounds or by morphological filters. Binarization, if necessary, can be performed by global or …

A Review on Character Segmentation of Touching and Half Character in Handwritten Hindi Text.
P Sharma, MK Sachan – International Journal of Advanced …, 2017 – search.ebscohost.com
… Devanagari handwritten text segmentation for overlapping and conjunct characters-A proficient technique … “Handwritten Hindi text segmentation techniques for lines and characters.” Proceedings of the World Congress on Engineering and Computer Science. Vol. 1. 2012 …

Text Line Segmentation for Mushaf Al-Quran Using Hybrid Projection Based Neighbouring Properties
AR Radzid, MS Azmi, IEA Jalil… – Journal of …, 2018 – journal.utem.edu.my
… Int. Conf. Front. Handwrit. Recognit. Text, 2014. [2] LNB Melhem, “Illumination Removal And Text Segmentation For Al-Quran Using Binary Representation,” Thesis for Master, Universiti Teknikal Malaysia Melaka, 2015. [3] A …

Text Segmentation, Chapter Naming and the Transmission of Embedded Texts in South Asia, with Special Reference to the Medical and Philosophical Traditions as …
K Preisendanz – Pieces and Parts in Scientific Texts, 2018 – Springer
This chapter addresses the large issue of the practice of text segmentation—formal or functional and semantic or content-related—and its various modes and devices, in the context of oral instruction and the study and transmission of text through recitation and …

Segmentation and recognition of text from image using pattern matching
N Anandhi, R Avudaiammal – 2017 International Conference on …, 2017 – ieeexplore.ieee.org
… In this paper, we take on time domain and frequency domain analysis for segmentation and recognition of text from image. Proposed method of text segmentation from image has been implemented in MATLAB … Fig. 1. Block Diagram Segmentation and Recognition of Text from …

Edge Based Segmentation Approach to Extract Text from Scene Images
T Kumuda, L Basavaraj – 2017 IEEE 7th International Advance …, 2017 – ieeexplore.ieee.org
Page 1. Edge Based Segmentation Approach to Extract Text from Scene Images Kumuda T Research Scholar, Dept of E&C, ATME, Mysore, Karnataka, India. L Basavaraj Principal, ATME, Mysore, Karnataka, India. Abstract— Scene …

Segmentation of Text/Graphic from Handwritten Mathematical Documents Using Gabor Filter.
Y Chajri, B Bouikhalene, A Maarir – International Arab Journal of …, 2017 – ccis2k.org
… SMC-3, no. 6, pp. 610-621, 1973. [8] Hoilund C., “The Radon Transform,” Report Aalborg University, 2007. [9] Jain A. and Bhattacharjee S., “Text Segmentation using Gabor Filters for Automatic Document Processing,” Machine Vision and Applications, vol. 5, no. 3, pp …

An efficient and flexible Knowledge-based Arabic text segmentation approach
M AMARA, K ZIDI, K GHEDIRA – IJCSIS, 2017 – academia.edu
In the last few years, the optical character recognition (OCR) of the Arabic language has been the subject of extensive research. Nevertheless, a little progress has been achieved in this field mainly due to the complex characteristics of the Arabic writing. The challenging …

SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE.
T Beula Bell, MK Jeya Kumar – ICTACT Journal on Image & Video …, 2017 – ictactjournals.in
This proposed method is an accurate and strong method for detecting texts in natural scene images. There are many cases that text regions are not clearly noTable. by background regions due to brightness or illumination variations. The proposed scene text finding process …

Key frame extraction, localization and segmentation of caption text in news videos
HH Phadke, H Mallika – 2017 2nd IEEE International …, 2017 – ieeexplore.ieee.org
… 547 clusters is found after they are converted to binary image and the cluster with least difference is taken as segmented text … Segmentation can be improved to provide better efficiency. OCR can be implemented and tested on the segmented text. REFERENCES …

Segmentation of text information in natural scene images
A Kashtalian – 2017 – elar.khnu.km.ua
… 107 implementation of these technologies in different fields of activity farther. Related Work Major of works on text segmentation are focused on documents or on constrained contexts, like license plate detection and recognition …