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Offline Typed Gujarati Character Recognition


     

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Character recognition is major concern since its inspiration. So, far very limited progress has been made in it, specifically for Indian languages. In this paper authors have presented recognition of offline computer generated and printed Gujarati characters. To identify characters authors used modify version of Hidden Markov Model (HMM) based algorithm. The system is trained and tested for different font size of Gujarati characters.

Keywords

Offline Typed Characters, Character Recognition, Optical Character Recognition (OCR), HMM
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  • A. Zidouri, M. Sarfraz – On Optical Character Recognition of Arabic Text - The 6th Saudi Engineering Conference, Vol. 4 – PP 109 – 116, Dec. – 2002
  • A. S. Bhaskarabhatla, S. Madhvanath - Experiences in Collection of Handwriting Data for Online Handwriting Recognition in Indic Scripts - LREC: 4th International Conference on Language Resources & Evaluation, 26-28 May 2004
  • A. Majumdar - Bangla Basic Character Recognition Using Digital Curvelet Transform - Journal of Pattern Recognition Research 1 - 17-26 – 30 Mar. 2007
  • Babu Suthar - Gujarati-English Learner’s Dictionary
  • C. Faure & Eric Lecolinet - Survey of the State of the Art in Human Language Technology - OCR: Handwriting
  • C. V. Lakshmi & C. Patvardhan – A High Accuracy OCR System for Printed Telugu text - Conference on Convergent Technologies for Asia-Pacific Region Volume 2, PP 725 - 729 - Issue, 15-17 Oct. 2003
  • C. V. Lakshmi & C. Patvardhan – A Multi-Font OCR System for Printed Telugu Text - Proceedings of the Language Engineering Conference - PP 7 – 2002
  • C. V. Lakshmi & C. Patvardhan - An Optical Character Recognition System for Printed Telugu Text - Pattern Analysis and Applications, Vol. 7, No. 2, PP 190-204 - July, 2004
  • C. V. Jawahar, M. N. S. S. K. Pavan Kumar, S. S. Ravi Kiran – A Bilingual OCR for Hindi - Telugu Documents and its Applications
  • E. Krevat, E. Cuzzillo - Improving Off-line Handwritten Character Recognition with Hidden Markov Models
  • G. Nagy, T. A. Nartker, S. V. Rice – Optical Character Recognition: An Illustrated Guide to the Frontier - Procs. Document Recognition and Retrieval VII, SPIE Vol. 3967, PP 58-69.
  • Guidelines on the Application of New Technology to Population Data Collection and Capture – Chapter 6 – OCR Technology – PP 52 – 62.
  • K. N. Murthy, A. Negi et al – Optical Character Recognition for Oriya Telugu
  • M. F. Zafar, D. Mohamad et al - On-line Handwritten Character Recognition: An Implementation of Counterpropagation Neural Net – Transactions on Engineering, Computing and Technology V10 - Dec. 2005
  • N. J. Rao – Optical Character Recognition for Tamil
  • R. Kasturi & L. O’Gorman et al - Document Image Analysis: A Primer - Sadhana Vol. 27, Part 1, PP. 3–22, Feb. 2002
  • R. M. Suresh, R. J. Kannan et al - Offline Handwritten Tamil Word Recognition Using Hidden Markov Models - 41st Annual National Convention of CSI, Kolkata, Nov. 23 – 25, 2006
  • S. Antani, L. Agnihotri – Gujarati Character Recognition – 5th International Conference on Document Analysis and Recognition PP 418, 1999
  • S. Mehta, S. R. Mohan, J. Dholakia et al - Resource Centre for Indian Language Technology Solutions – Gujarati Achievements
  • S. Hewavitharana & H. C. Fernando et al - Off-line Sinhala Handwriting Recognition using Hidden Markov Models
  • S. K. Parui, U. Bhattacharya, et al – A Hidden Markov Model for Recognition of Online Handwritten Bangla Numerals - 41st Annual National Convention of CSI, Kolkata, Nov. 23 – 25, 2006
  • http://cvit.iiit.ac.in
  • http://ccat.sas.upenn.edu
  • http://languages.iloveindia.com
  • http://cslu.cse.ogi.edu
  • http://india.mapsofindia.com
  • http://jedlik.phy.bme.hu
  • http://en.wikipedia.org

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  • Offline Typed Gujarati Character Recognition

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Authors

Abstract


Character recognition is major concern since its inspiration. So, far very limited progress has been made in it, specifically for Indian languages. In this paper authors have presented recognition of offline computer generated and printed Gujarati characters. To identify characters authors used modify version of Hidden Markov Model (HMM) based algorithm. The system is trained and tested for different font size of Gujarati characters.

Keywords


Offline Typed Characters, Character Recognition, Optical Character Recognition (OCR), HMM

References