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Text Detection and Recognition in images: A survey [article]

Tanvi Goswami and Zankhana Barad and Prof. Nikita P. Desai
2018 arXiv   pre-print
Special issues associated with the enhancement of degraded text and the processing of video text and multi-oriented text are also addressed.  ...  Existing techniques are categorized as either stepwise or integrated and sub-problems are highlighted including digit localization, verification, segmentation and recognition.  ...  The localization step coarsely classifies components and groups them into candidate text regions, which are further classified into text or non-text regions during verification.  ... 
arXiv:1803.07278v2 fatcat:2e4lkdtw7zc6rmm4vufvqshob4

A New Approach For Text Detection In Natural Scene Images

Sonia Jenifer Rayen
2016 International Journal Of Engineering And Computer Science  
Stable Extremal Regions (MSERs) as character candidates exploitation the strategy of minimizing regular variations.  ...  Text detection in natural scene pictures is a very important requirement for several content-based image analysis tasks.  ...  Existing ways for scene text detection can roughly be classified into three groups: window primarily based ways, connected part primarily based ways, and hybrid ways.  ... 
doi:10.18535/ijecs/v4i12.30 fatcat:q7hg2heeyzh2dkhbekj7zlywyi

A SURVEY ON RECENT METHODOLOGIES IN MULTILINGUAL CHARACTER DETECTION AND RECOGNITION

Snehal S Gaikwad ., S. L. Nalbalwar .
2019 International Journal of Engineering Applied Sciences and Technology  
Multilingual character detection and recognition from video subtitles, scenes and documents is additionally getting high consideration on this subject.  ...  Different workshops and conferences are being sorted out on global level giving further ascent to advancements in field of character detection and recognition.  ...  Stroke width variation and merged text region is used to remove non-text region for final detection [3] .  ... 
doi:10.33564/ijeast.2019.v04i03.062 fatcat:6tswkhkmwbcfnne6tk6z2jm6jm

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition [article]

Chee Kheng Chng, Chee Seng Chan
2017 arXiv   pre-print
The main motivation of Total-Text is to fill this gap and facilitate a new research direction for the scene text community.  ...  Text in curve orientation, despite being one of the common text orientations in real world environment, has close to zero existence in well received scene text datasets such as ICDAR2013 and MSRA-TD500  ...  Keywords-Scene text dataset; Curve-oriented text; Segmentation-based text detection  ... 
arXiv:1710.10400v1 fatcat:y4pak5rzujgpngt34t65kcem7u

OCR using the Artificial Neural Network with Character Localization using Combined PCA and MSER Features

Sonu Rani, Navpreet Kaur
2016 International Journal of Computer Applications  
The proposed model has been designed with the combination of the shape recognition, text region detection and character recognition method using the maximally stable extremal regions (MSER), principal  ...  The optical character recognition models are the algorithms to detect and extract the text from the image data.  ...  Usually text detection technique can be grouped as either connected-component based, edge-based and texture-based methods [2] .  ... 
doi:10.5120/ijca2016911486 fatcat:6mmzprporbfdvj2wlr7hitc6ke

AT-Text: Assembling Text Components for Efficient Dense Scene Text Detection

Haiyan Li, Hongtao Lu
2020 Future Internet  
Text detection is a prerequisite for text recognition in scene images. Previous segmentation-based methods for detecting scene text have already achieved a promising performance.  ...  The AT-text works well on multi-oriented and multi-language text without complex post-processing and character-level annotation.  ...  Acknowledgments: The authors thank the hard work of the editor and the reviewers' comments for improving the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi12110200 fatcat:l5cxbzuk5natjblbnz6c4ochya

An Efficient Edge Based Technique for Text Detection in Video Frames

Palaiahnakote Shivakumara, Weihua Huang, Chew Lim Tan
2008 2008 The Eighth IAPR International Workshop on Document Analysis Systems  
In this paper, we present a novel technique for detecting both graphic text and scene text in video images by finding segments containing text in an input image and then using statistical features such  ...  Both graphic text and scene text detection in video images with complex background and low resolution is still a challenging and interesting problem for researchers in the field of image processing and  ...  In general, text appearing in images can be classified into two groups: scene text and graphics text.  ... 
doi:10.1109/das.2008.17 dblp:conf/das/ShivakumaraHT08 fatcat:6k4g2o2v2nhpvcygxtocs22gem

TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild [article]

Lluis Gomez-Bigorda, Dimosthenis Karatzas
2017 arXiv   pre-print
We rely on a similarity based region grouping algorithm that generates a hierarchy of word hypotheses.  ...  We show impressive recall rates with a few thousand proposals in different standard benchmarks, including focused or incidental text datasets, and multi-language scenarios.  ...  Acknowledgment This project was supported by the Spanish project TIN2014-52072-P, the fellowship RYC-2009-05031, and the Catalan government scholarship 2014FI B1-0017.  ... 
arXiv:1604.02619v3 fatcat:bnerugqj6nclxaueapd2tgjzqy

Text Detection from Natural Images using MSER Algorithm

Lokendra Singh Banafar, Dr. Lalita Gupta
2018 International Journal of Trend in Scientific Research and Development  
There are many methods which are still used to detect the text from the natural scene such as text detection using edge analysis, robust text detection, Real time text tracking, but none of them is promising  ...  In this paper text detection is carried by using canny edge detection algorithm and MSER based method along with the image enhancement which results in the improved performance in terms of text detection  ...  Color-Based Text Detection Gaoet al. Use color based text detection, assuming that character regions can be segmented with a Gaussian mixture model into foreground and background components.  ... 
doi:10.31142/ijtsrd10806 fatcat:svw7pdvlnnb7nkleujzxcefseu

A Fast Hierarchical Method for Multi-script and Arbitrary Oriented Scene Text Extraction [article]

Lluis Gomez, Dimosthenis Karatzas
2014 arXiv   pre-print
This paper addresses the problem of text segmentation in natural scenes from a hierarchical perspective.  ...  and a probabilistic measure of group meaningfulness based in perceptual organization.  ...  ACKNOWLEDGMENT This project was supported by the Spanish project TIN2011-24631 the fellowship RYC-2009-05031, and the Catalan government scholarship 2013FI1126.  ... 
arXiv:1407.7504v1 fatcat:7pgl4pugirbcpjd7jjiovpkn3q

Text Detection and Recognition in Imagery: A Survey

Qixiang Ye, David Doermann
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Existing techniques are categorized as either stepwise or integrated and subproblems are highlighted including text localization, verification, segmentation and recognition.  ...  Special issues associated with the enhancement of degraded text and the processing of video text, multi-oriented, perspectively distorted and multilingual text are also addressed.  ...  Jie Chen, the Associate Editor and the reviewers for their comments and suggestions.  ... 
doi:10.1109/tpami.2014.2366765 pmid:26352454 fatcat:cuz3qhkglnahdebxqptbsgpjmm

Integrated Method for Text Detection in Natural Scene Images

2016 KSII Transactions on Internet and Information Systems  
Fourth, a Convolutional Neural Network model is used to verify text candidates, improving the performance of text detection.  ...  performance on intra-character connection and non-character removal.  ...  They assumed each component is an independent extremal region (ER) and used maximally stable extremal regions (MSERs) to extract possible characters.  ... 
doi:10.3837/tiis.2016.11.021 fatcat:b4jtbfmprfdxth5zwfipjbo6o4

Product Label Reading System for Blind People using Support Vector Machine Algorithm

2019 International Journal of Engineering and Advanced Technology  
Content district will be naturally confined as Region of Interest (ROI). Content is extricated from ROI by consolidating both guideline based and learning based technique.  ...  A tale standard based content limitation calculation is utilized by recognizing geometric highlights like pixel esteem, shading force, character size and so forth and furthermore highlights like Gradient  ...  Color-based text segmentation [5] is performed through a Gaussian mixture model for calculating a confidence value for text regions.  ... 
doi:10.35940/ijeat.f1047.0886s219 fatcat:4znwih3dknexxf64wctwgqtpom

A Survey on Character Recognition using Geometry Based Feature Extraction

Bishakha sharma, Arun Agarwal, Aruna Bajpai
2017 IOSR Journal of Computer Engineering  
Character Recognition is a wide thought and this paper focuses particularly on the Online Character Recognition System or the Optical Character Recognition (OCR) and clarifies the diverse periods of the  ...  The last section of the paper focuses on certain achievements and advancements in this particular field and future scope to the study of character recognition system.  ...  However, common scene text detection approaches have not fully utilized such similarity, but mostly rely on the characters classified with high confidence, can lead to a low review rate.  ... 
doi:10.9790/0661-1903029196 fatcat:s2xsuibqgfdc5crq6ss4gt5rlm

Text-Edge-Box: An Object Proposal Approach for Scene Texts Localization

Dinh Nguyen, Lu Shijian, Nizar Ouarti, Mounir Mokhtari
2017 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)  
Scene texts proposals are finally generated by grouping the connected components and estimating their likelihood of being words.  ...  The proposed technique, which we call Text Edge Box (TEB), uses a binary edge map, a gradient map and an orientation map of an image as inputs.  ...  The pilot research [15] has searches and ranks potential text regions based on the Maximally Stable Extremal Region (MSER) and regions description.  ... 
doi:10.1109/wacv.2017.149 dblp:conf/wacv/NguyenSOM17 fatcat:wziyoed4x5gprekocu2yzqzm6i
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