Classification and Comparative Analysis of Character Recognition Techniques

  • Nikhil Pal University of Pune
  • Vijaykumar S Kolkure
Keywords: CR

Abstract

The popularity of Character Recognition (CR) Technique is increasing day by day. This technique is used for data entry, data safety in Banking and all other several fields, where data safety is a prime issue. So, Character Recognition progressed to a level sufficient to produce technology driven applications. The basic aim of Character Recognition is to scan the documents, processes over it and convert them into editable format.There are different methods of Character Recognition has been implemented so far. This paper presents the classification of Character Recognition Techniques. This study also compares the different methods of Character Recognition.

References

[1]Yusuf Perwej and AshishChaturvedi, “Neural networks for handwritten english alphabet recognition,” Int. J. of Computer Applications (0975 – 8887), vol. 20, no. 7, pp. April 2011
[2] Abdul Rahiman M and Rajasree M S, “An Efficient Character Recognition System for Handwritten Malayalam Characters Based on Intensity Variations,” Int. J. of Computer Theory and Engineering, vol. 3, no. 3, June 2011. [3]Anilkumar N. Holambe and Dr.Ravinder.C.Thool, “Printed and Handwritten Character Number Recognition of Devanagari Script using SVM and KNN,” Int. J. of Recent Trends in Engineering and Technology, vol. 3, no. 2, May 2010. [4] Louisa Lam and Ching Y. Suen, “An Evaluation of Parallel Thinning Algorithms for Character Recognition,”IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 9, September 1995. [5] Nei Kato, Shin’ichiroOmachi, HirotomoAso, Member, and Yoshiaki Nemoto, “A Handwritten Character Recognition System Using Directional Element Feature and Asymmetric Mahalanobis Distance,” IEEE Transactions On Pattern Analysis And Machine Intelligence, vol. 21, no. 3, March 1999.
Published
2017-12-17
How to Cite
Pal, N., & Kolkure, V. (2017). Classification and Comparative Analysis of Character Recognition Techniques. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 2(2). Retrieved from http://asianssr.org/index.php/ajct/article/view/93
Section
Article

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