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Segmentation of Handwritten Hindi Text

Naresh Kumar Garg, Dr. Lakhwinder Kaur, Dr. Manish Kumar
2010 International Journal of Computer Applications  
The main purpose of this paper is to provide the new segmentation technique based on structure approach for Handwritten Hindi text. Segmentation is one of the major stages of character recognition.  ...  The handwritten text is separated into lines, lines into words and words into characters. The errors in segmentation propagate to recognition.  ...  A lot of research is done in the past on line segmentation of handwritten text. A wide variety of line segmentation methods for handwritten documents are reported in the literature.  ... 
doi:10.5120/108-222 fatcat:ms2vbe4dzbegvdsozyclj7u4ua

Method for Line Segmentation in Handwritten Documents with Touching and Broken Parts in Devanagari Script

Shafali Goyal, Ashok Kumar Bathla
2014 International Journal of Computer Applications  
approach authors discussed the new method for Line Segmentation of Handwritten Hindi text.  ...  In this paper, method for segmentation of handwritten text lines in Hindi is presented.  ... 
doi:10.5120/17868-8794 fatcat:d2eeeqmd4rb4jjbguwzmpz4gpa

Word Recognition System Using ANN

Dr. J.Kejiya Rani
2016 International Journal Of Engineering And Computer Science  
To develop and apply the new segmentation technique on the handwritten Hindi text collected from different users. . 3. To design a new feature set for the handwritten Hindi text. 4.  ...  The main objective of this paper is: 1. To study the existing techniques for recognition of handwritten Hindi text. 2.  ...  New algorithms to be proposed for line segmentation, half character segmentation, segmentation of touching modifier from consonant in middle region and lower modifier segmentation of printed Hindi text  ... 
doi:10.18535/ijecs/v5i12.15 fatcat:cubiohi26ze23lnvnppzypq2p4

Handwritten Devanagari Character Recognition System: A Review

Sonal Khare, Jaiveer Singh
2015 International Journal of Computer Applications  
India is a multi-lingual country consisting of eleven different scripts. Hindi is third most widely used language after English and Chinese.  ...  Lot of work has been done in handwritten character recognition and lot of work is to be done. This paper presents a detailed analysis of research work related to devanagari character recognition.  ...  Sonika Dogra, Chandra Prakash, [6] describes a recognition system which can be used for the recognition of offline handwritten Hindi characters.  ... 
doi:10.5120/21566-4600 fatcat:zvh33gwqcra6deoly2uxjpy524


2012 American Journal of Engineering and Applied Sciences  
A new algorithm for Hindi (Arabic) Numeral Recognition is proposed.  ...  The proposed algorithm was developed using MATLAB and tested with a large sample of handwritten numeral datasets for different writers in different ages.  ...  DISCUSSION In this study we describe a new approach to off-line, handwritten numeral recognition.  ... 
doi:10.3844/ajeassp.2012.132.135 fatcat:old2hnzwxbesblbxhucgt2aami

Topographic Feature Extraction for Bengali and Hindi Character Images

Soumen Bag
2011 Signal & Image Processing An International Journal  
We have tested the proposed method on printed and handwritten Bengali and Hindi character images. Initial results demonstrate the efficacy of our approach.  ...  We consider three types of topographic features: closed region, convexity of strokes, and straight line strokes.  ...  Sethi and Chatterjee [17] have proposed a set of primitives, such as, global and local horizontal and vertical line segments, right and left slant, and loop for recognizing handwritten Hindi characters  ... 
doi:10.5121/sipij.2011.2215 fatcat:tsgwf4vxevgqjep2kr7xz6wyxq

Handwriting Text Recognition using Neural Networks

Handwritten text recognition is a laborious task because humans can write a similar message in numerous ways or due to huge diversity in individual's style of writing.  ...  In this paper we explore the methods used to recognize and detect handwritten text or words in different languages.  ...  handwritten on Text line characters in Hindi segmentation and which includes 1380 98.1% on Word words of 200 lines segmentation 11 H.  ... 
doi:10.35940/ijitee.b7705.129219 fatcat:ojmum6lhunh5vaxrrbs7qbcs7q

Character Segmentation and Skew Correction for Handwritten Devanagari Scripts: A Friends Technique

Ashok Kumar Bathla ., Sunil Kumar Gupta .
2019 Asian Journal of Engineering and Applied Technology  
This paper aims a novel technique for segmentation and skew correction of hand written Devanagari text.  ...  a scripting language of Hindi.  ...  A new method (the Friends Technique) is proposed for segmentation [5] [6] [7] [8] [9] of Devanagari text. The Friends technique efficiently segments the characters from the words.  ... 
doi:10.51983/ajeat-2019.8.1.1060 fatcat:kh6xsentszgnbb5i5puxsawqe4

Segmentation of Devanagari Handwritten Characters

Ankita Srivastav, Neha Sahu
2016 International Journal of Computer Applications  
Hence our research work was directed towards development of a novel algorithm for Devanagari character segmentation for Hindi.  ...  A substantial amount of work has been done on foreign languages such as English , Chinese etc. but very few paper are there for Indian languages baring a few for Hindi and Bengali.  ...  This paper proposed a new approach to segment Devanagari handwritten characters.  ... 
doi:10.5120/ijca2016909994 fatcat:3w4ypvi3uzgs5f3plllavrdi2a

Devanagari Character Recognition: A Short Review

B. Indira, Muhammad Shuaib Qureshi, Mahaboob Sharief Shaik, Rashad Mahmood Saqib, M V Ramana Murthy
2012 International Journal of Computer Applications  
Devanagari is an indian script used by huge number of indian people. Devanagari forms the basis for several indian languages including Hindi, Sanskrit, Kashmiri, Marathi and so on.  ...  Optical character recognition is a vital task in the field of pattern recognition.  ...  OCR methodologies can be classified based on two criteria; data acquisition process which can be on-line or off-line and type of the text which is printed text or hand-written text [1] .  ... 
doi:10.5120/9553-4011 fatcat:jbnrs63pqzattj223eunoybjwq

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents

Yi Li, Yefeng Zheng, David Doermann, Stefan Jaeger
2008 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Index Terms-Handwritten text line segmentation, document image analysis, density estimation, level set methods.  ...  Text line segmentation in freestyle handwritten documents remains an open document analysis problem.  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their constructive comments. This research was supported by the US Department of Defense under Contract MDA-9040-2C-0406.  ... 
doi:10.1109/tpami.2007.70792 pmid:18566488 fatcat:gjfrfybhpvbmdpblukhszzkdou

Recognition of Offline Handwritten Characters using 2D-FFT for English and Hindi Scripts

2020 International Journal of Engineering and Advanced Technology  
The best recognition accuracy for handwritten character recognition of English and Hindi languages obtained is 70%.  ...  The Handwritten Character Recognition has been a challenging task for the past many decades. This is an old application related to the area of pattern recognition.  ...  The input text image may be of a page of a document, a word or a character at a time. To convert an image with a page of document to soft form, the lines of text are to be first segmented.  ... 
doi:10.35940/ijeat.d7339.049420 fatcat:hopuvmuz2vaanc2fdmyfbtiltu

Feature Extraction Techniques for Text Recognition of Indian Scripts

Mrs. Gita Sinha
2019 International Journal for Research in Applied Science and Engineering Technology  
From the last few decades offline handwritten text recognition has gained a lot of interest of researchers.  ...  The development of handwritten text recognition (HTR) is an interesting area in pattern recognition.  ...  [5] proposed an article on A Technique for Segmentation of Handwritten Hindi Text. The main aim of this article is to proposed the new method for Segmentation of Handwritten Hindi image.  ... 
doi:10.22214/ijraset.2019.5549 fatcat:my3npzx3bffl7nik77obp6hkqi

Fragmentation of Handwritten Touching Characters in Devanagari Script

Shuchi Kapoor, Vivek Verma
2014 International Journal of Information Technology, Modeling and Computing  
Segmentation of handwritten text in Devanagari script is an uphill task.  ...  Character Segmentation of handwritten words is a difficult task because of different writing styles and complex structural features.  ...  Rakesh Sharma for being kind enough to spare his valuable time, provide insights and guidance on a complex topic.I am also thankful to Principal and management of RCEW for their support and encouragement.I  ... 
doi:10.5121/ijitmc.2014.2102 fatcat:pbagvedyu5ezffg5p4f24fkuii

Support Vector Machine Based Handwritten Hindi Character Recognition and Summarization

Sunil Dhankhar, Mukesh Kumar Gupta, Fida Hussain Memon, Surbhi Bhatia, Pankaj Dadheech, Arwa Mashat
2022 Computer systems science and engineering  
A lot of work has been done on the English language for handwritten character recognition but very less work on the under-resourced Hindi language.  ...  A method is developed for identifying Hindi language characters that use morphology, edge detection, histograms of oriented gradients (HOG), and SVM classes for summary creation.  ...  Funding Statement: The authors received no specific funding for this study. Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.32604/csse.2022.024059 fatcat:w7l7achix5czjgzok3q5jesloq
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