Survey and Classification of Character Recognition System

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-3                       
Year of Publication : 2013
Authors :  Priya Sharma , Randhir Singh

Citation 

Priya Sharma , Randhir Singh. "Survey and Classification of Character Recognition System". International Journal of Engineering Trends and Technology (IJETT). V4(3):316-318 Mar 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Variation in handwrit ing among different writers occurs since each writer possesses own speed of writing, different styles, sizes or positions for characters or text. Variation in handwriting styles also exists within individual person’s handwriting. This variation may take pl ace due to: writing in various situations that may or may not be comfortable to writer; different moods of writer; style of writing same characters with different shapes in different situations or as a part of different words; using different kinds of hard ware for handwriting. This paper provides a survey, and classification of various character recognition techniques.

References

[1] S. Mori, C.Y. Suen and K. Kamamoto, “Historical review of OCR research and development,” Proc. of IEEE, vol. 80, pp. 1029 - 1058, July 1992.
[2] Optical character recognition http://en.wikipedia.org/wiki/Optical_character_recognition
[3] N. Arica and F. Yarman - Vural, “An Overview of Character Recognition Focused on Off - line Handwriting”, IEEE Transactions o n Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2001, 31(2), pp. 216 – 233 .
[4] J. Mantas, “An overview of character recognition methodologies”, Pattern Recognition, Vol. 19, pp 425 - 430 (1986).
[5] V. K. Govindan and A. P. Shivaprasad, “Characte r recognition – A survey “, Pattern Recognition, Vol. 23, pp 671 - 683(1990).
[6] B. Al - Badr and S.A. Mahmoud, “Survey and bibliography of Arabic optical text recognition”, Signal Processing, Vol.41, pp. 49 - 77(1995)

Keywords
Character recognition, Pre - processing, Segmentation, Features.