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Printed Gujarati Script OCR using Hopfield Neural Network

by Prachi Solanki, Malay Bhatt
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 13
Year of Publication: 2013
Authors: Prachi Solanki, Malay Bhatt
10.5120/11905-7982

Prachi Solanki, Malay Bhatt . Printed Gujarati Script OCR using Hopfield Neural Network. International Journal of Computer Applications. 69, 13 ( May 2013), 33-37. DOI=10.5120/11905-7982

@article{ 10.5120/11905-7982,
author = { Prachi Solanki, Malay Bhatt },
title = { Printed Gujarati Script OCR using Hopfield Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 13 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number13/11905-7982/ },
doi = { 10.5120/11905-7982 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:11.782372+05:30
%A Prachi Solanki
%A Malay Bhatt
%T Printed Gujarati Script OCR using Hopfield Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 13
%P 33-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical Character Recognition (OCR) systems have been developed for the recognition of printed characters of non-Indian languages effectively. Efforts are going on for development of efficient OCR systems for Indian languages, especially for Gujarati, a popular language of west India. In this paper, an OCR system is developed for the recognition of basic characters in printed Gujarati text. To extract the features of printed Guajarati characters principal component analysis (PCA) is used. Hopfield Neural classifier has been effectively used for the classification of characters based on features. The system methodology can be extended for the recognition of other Indian languages.

References
  1. Bidyut B. Chaudhuri, "ON OCR OF A PRINTED IDIAN SCRIPT", from the book published by springer (pg no 98-119)(for bangla script)
  2. Sameer Antani and Lalitha Agnihotri, "Gujarati Character Recognition" ,Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on 22-23 1999
  3. Jignesh Dholakia, Archit Yajnik and Atul Negi, "Wavelet Feature Based Confusion Character Sets for Gujarati Script", International Conference on Computational Intelligence and Multimedia Applications 2007
  4. Vikas J Dongre and Vijay H Mankar , "DEVNAGARI DOCUMENT SEGMENTATION USING HISTOGRAM APPROACH",International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol. 1, No. 3, August 2011
  5. Gunvantsinh Gohil, Rekha Teraiya and Mahesh Goyani ,"CHAIN CODE AND HOLISTIC FEATURES BASED OCR SYSTEM FOR PRINTED DEVANAGARI SCRIPT USING ANN AND SVM", International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 3, No. 1, January 2012
  6. K. Y. Rajput and Sangita Mishra ,"Recognition and Editing of Devnagari Handwriting Using Neural Network",Proceedings of SPIT-IEEE Colloquium and International Conference, Mumbai, India vol-1
  7. Apurva A. Desai ,"Segmentation of Characters from old Typewritten Documents using Radon Transform", International Journal of Computer Applications (0975 – 8887) Volume 37– No. 9, January 2012
  8. Jignesh Dholakia, S. Rama Mohan And Atul Negi ,"Zone Identification in the Printed Gujarati Text", Document Analysis and Recognition, 2005. pp272 - 276 Vol. 1
  9. Avani R. Vasant, Sandeep R. Vasant and Dr. G. R. Kulkarni "Performance Evaluation of Different Image Sizes for Recognizing Offline Handwritten Gujarati Digits using Neural Network Approach", 2012 International Conference on Communication Systems and Network Technologies
  10. Pradeepta K Sarangi, Ashok K Sahoo and P Ahmed "Recognition of Isolated Handwritten Oriya Numerals using Hopfield Neural Network", International Journal of Computer Applications (0975 – 8887) Volume 40– No. 8, February 2012
  11. Dharam Veer Sharma, Gurpreet Singh Lehal, Sarita Mehta, "Shape Encoded Post Processing of Gurmukhi OCR",2009 10th International Conference on Document Analysis and Recognition
  12. M. Egmont-Petersena, D. de Ridder, and H. Handels "Image processing with neural networks – a review" Pattern Recognition 35 (2002) 2279–2301Received 12 May 2001; accepted 21 August 2001
  13. A. Yajnik and S. R. Mohan,"Identification of Gugarati Characters using Wavelets and Neural Networks", Proceeding Artificial Intelligence and Soft Computing pp 150 – 155, 2006
  14. Digital Image processing using MATLAB (Book) By Rafael C. Gonzalez, Rechard E. Woods, Steven L. Eddins
Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition (OCR) Gujarati text PCA Hopfield neural network

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