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Optical Character Recognition using Ant Miner Algorithm: A Case Study on Oriya Character Recognition

by Bhagirath Kumar, Niraj Kumar, Charulata Palai, Pradeep Kumar Jena, Subhagata Chattopadhyay
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 3
Year of Publication: 2013
Authors: Bhagirath Kumar, Niraj Kumar, Charulata Palai, Pradeep Kumar Jena, Subhagata Chattopadhyay
10.5120/9908-4500

Bhagirath Kumar, Niraj Kumar, Charulata Palai, Pradeep Kumar Jena, Subhagata Chattopadhyay . Optical Character Recognition using Ant Miner Algorithm: A Case Study on Oriya Character Recognition. International Journal of Computer Applications. 61, 3 ( January 2013), 17-22. DOI=10.5120/9908-4500

@article{ 10.5120/9908-4500,
author = { Bhagirath Kumar, Niraj Kumar, Charulata Palai, Pradeep Kumar Jena, Subhagata Chattopadhyay },
title = { Optical Character Recognition using Ant Miner Algorithm: A Case Study on Oriya Character Recognition },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 3 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number3/9908-4500/ },
doi = { 10.5120/9908-4500 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:05.819667+05:30
%A Bhagirath Kumar
%A Niraj Kumar
%A Charulata Palai
%A Pradeep Kumar Jena
%A Subhagata Chattopadhyay
%T Optical Character Recognition using Ant Miner Algorithm: A Case Study on Oriya Character Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 3
%P 17-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical Character Recognition (OCR) is one of the challenging areas in the domain of image processing, where the handwritten or printed characters are digitized by using an optical scanner. The image is then analyzed broadly by two methods – (i) matrix space analysis method and (ii) feature space analysis method. Matrix space analysis method takes more memory space and time, compared to feature space analysis. However, it works fine for the scripts in which the strokes are prominent, e. g. English numeric scripts. On the other hand, the feature analysis method is useful where the scripts are complex and having more similarity between the letters in its writing style. Hence, the feature analysis approach is more useful to many of the regional languages. In this paper, we have used the Ant-miner algorithm (AMA) for offline OCR of hand written Oriya scripts, popularly known as Utkal lipi. The AMA is a rule-based approach. The rules are incrementally tuned during the training. The Oriya language contains more than 50 distinct characters i. e. 12 Swara-varnas (i. e. , vowels) and 38 Byanjan-varnas (i. e. , consonants) and their composite characters. In this work, for the analysis, we define three types of 'block's as per the writing styles of the scripts. AMA is then tested with four characters from each 'block'. Finally, a character recognition tool has been developed using Matlab for observation and validation.

References
  1. Tripathi R. C, Kumar V. "Character Recognition: A Neural Network Approach" Proceedings published in International Journal of Computer Applications, pp. 17-20, 2012.
  2. Krishna K. , Goyal A. , Chattopadhyay S. "Non-correlated Character Recognition using Hopfield Network: A Study". In the proceedings of International Conference on Computer and Computational Intelligence (ICCCI-2011) (Ed. Yi Xie) pp. 385-389 Bangkok, Thailand (2-4th December) 2011, ISBN: 978-0-7918-5992-6. DOI: http://dx. doi. org/10. 1115/1. 859926. paper62.
  3. Dash T. , Nayak T. , Chattopadhyay S. "Offline Handwritten Signature Verification using Associative Memory Net". International Journal of Advanced Research in Computer Engineering & Technology Vol. 1, Issue 4, pp. 370-374, 2012.
  4. Dash T. , Chattopadhyay S. , Nayak T. , "Handwritten Signature Verification using Adaptive Resonance Theory Type-2 (ART-2) Net". Journal of Global Research in Computer Science Vol. 3 Issue 8, pp. 21-25, 2012.
  5. Dash T. , Nayak T. , Chattopadhyay S. "Offline Verification of Hand Written Signature Using Adaptive Resonance Theory Net (Type-1)". In the proceedings of the 4th International Conference on Electronic Computer Technology (ICECT-2012 Vol-2) Kanyakumari, India (6-8 April'12). Editor: Yuan Li, pp. 205-210. ISBN: 978-1-4673-1849-5; DOI: 978-1-4673-1/12; IEEE catalog number: CFP1295F-PRT, IEEE Xplore.
  6. Dash T. , Nayak T. , Chattopadhyay S. "Handwritten Signature Verification (Offline) using Neural Network Approaches: A Comparative Study", International Journal of Computer Applications, 57(7): 33-41, 2012.
  7. Rajashekararadhya S. V, Ranjan P. V, "A Novel Zone Based Feature Extraction Algorithm for Handwritten Numeral Recognition of Four Indian Scripts", Digital Technology Journal, Vol. 2, pp. 41-51, 2009.
  8. Rajashekararadhya S. V. , Ranjan P. V. "Efficient Zone Based Feature Extraction Algorithm For Hand Written Numeral Recognition of Four Popular South Indian Scripts", Journal of Theoretical and Applied Information Technology, JATIT 2008.
  9. Majumdar A. "Bangla Basic Character Recognition Using Digital Curvelet Transform", Journal of Pattern Recognition Research Vol. 1, pp. 17-26, 2007.
  10. Nayak M. R. , Nayak S. , Manas Y. , Bhanja Chaudhuri S. , Chattopadhyay S. "Automatic Recognition of Handwritten Bangla Broken Characters: A Study on Simulating the Human Pattern Matching System", International Journal of Computer Applications, in press, 2012
  11. Mukherji P. , Rege P. P. "Shape Feature and Fuzzy Logic Based Offline Devnagari Handwritten Optical Character Recognition" Journal of Pattern Recognition Research, Vol 5, No 1, pp. 52-68, 2010.
  12. Singh R. , Yadav C. S. , Verma P. , Yadav V. "Optical Character Recognition (OCR) for Printed Devnagari Script Using Artificial Neural Network" International Journal of Computer Science & Communication vol. 1, no. 1, pp. 91-95, 2010.
  13. Lorigo L. M. and Govindaraju V, ''Offline Arabic handwriting recognition: A survey'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 5, pp. 712-724, 2006.
  14. Cheung A. , Bennamoun M. , Bergmann N. W. , Space Centre for Satellite Navigation, School of Electrical & Electronic System Engineering "An Arabic Optical Character Recognition System using Recognition-based Segmentation", Pattern Recognition vol. 34, pp 215-233, 2001.
  15. Phokharatkul P, Sankhuangaw K Somkuarnpanit, S, Phaiboon S, and Kimpan C "Off-line Hand Written Thai Character Recognition using Ant-Miner Algorithm", World Academy of Science, Engineering and Technology 8, pp. 768-773, 2005.
  16. Mishra S, Nanda D , Mohanty S "Oriya Character Recognition using Neural Networks", IJCCT Vol. 2 Spl. Issue 2, 2010 for International Conference [ICCT-2010],
  17. Chaudhuri B. B. , Pal U. , Mitra M. "Automatic Recognition of Printed Oriya Script", Sadhana vol. 27, Part 1, pp. 23-34, 2002.
  18. Manas Y. , Nayak M. R. , Chattopadhyay S. "Recognition and Classification of Broken Characters using Feed Forward Neural Network to Enhance an OCR Solution, International Journal of Advanced Research in Computer Engineering & Technology Vol. 1, No. 8, pp. 11-15, 2012.
  19. Arica N. and Fatos Yarman-Vural T. , ''An Overview of character recognition focused on off-line handwriting'', IEEE Transactions on System Man Cybernetics-Part C: Applications and Reviews, vol. 31, no. 2, pp. 216-233, 2001.
  20. Baterina A V, Oppus C, "Image Edge Detection using Ant Colony Optimization, WSEAS Transactions on Signal Processing, Volume 6, Issue 2, pp. 58-67, 2010
  21. Nada M. A. Al Salami "Ant Colony Optimization Algorithm", UbiCC Journal, Volume 4, Number 3, pp. 823-826, 2009.
  22. Smaldon J. , Freitas A. A. "A New Version of the Ant-Miner Algorithm Discovering Unordered Rule Sets", GECCO'06, Seattle, Washington, USA, July 8–12, 2006.
  23. Parpinelli R. S. , Lopes H. S. , Freitas A. A. "An ant colony algorithm for classification rule discovery". In Abbas H. , Sarkar R. , and Newton C. (Editors. ). Data Mining: a Heuristic Approach, London: Idea Group Publishing, pp. 191-208.
  24. Chattopadhyay S. , Banerjee S. , Rabhi F. A, Acharya R. U. "A Case-based Reasoning System for Complex Medical Diagnoses". Expert Systems: the Journal of Knowledge Engineering (2012); published online on 13/6/2012; DOI: 10. 1111/j. 1468-0394. 2012. 00618. x (in press).
  25. Chattopadhyay S. "Psyconsultant I: A DSM-IV-Based Screening Tool for Adult Psychiatric Disorders in Indian Rural Health Center". The Internet Journal of Medical Informatics [Serial Online] vol. 3, no. 1, 2006.
  26. Chattopadhyay S. "A Prototype Depression Screening Tool for Rural Healthcare: A Step towards e-Health Informatics", Journal of Medical Imaging and Health Informatics vol. 2, issue 3, pp. 244-249, 2012.
  27. Chattopadhyay S. , Sahu S. K. "A Predictive Stressor-integrated Model of Suicide Right from One's Birth: a Bayesian Approach", Journal of Medical Imaging and Health Informatics vol. 2, issue 2, pp. 125-131, 2012.
  28. Chattopadhyay S. . "Neurofuzzy Models to Automate the Grading of Old-age Depression". Expert Systems: the Journal of Knowledge Engineering (2012); DOI: 10. 1111/exsy. 12000 (in press).
  29. Satapathy S. , Chattopadhyay S. "Observation-Prevention of Cardiac Risk Factors: an Indian Study", Journal of Medical Imaging and Health Informatics Vol. 2, No. 2, pp. 102-113, 2012.
  30. Chattopadhyay S. , Pratihar D. K, De Sarkar S. C. . "Statistical Modelling of Psychoses Data". Computer Methods and Programs in Biomedicine Vol. 100, No. 3, pp. 222-236, 2010.
  31. Manas Y. , Jena P. K. "Enhanced Color Image Segmentation of Foreground Region using Particle Swarm Optimization" International Journal of Computer Application vol. 57, no. 8, pp. 18-23, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Off-line character recognition Optcal character recgnition image enhancemen Oriya scripts Ant-minor algorithm Feature space analysis

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