A Study on Preprocessing Techniques for the Character Recognition

Poovizhi Ponnusamy


Image processing encompasses a large range of techniques which are used in a very wide range of applications. Handwritten Recognition is an emerging field in the pattern recognition. Documents which are scanned may contain unnecessary information or some translation of the document or de-skew should be performed in order to process the document further. The main objective of the paper is to explain about the importance of the preprocessing steps for the Optical Character Recognition. For the development of OCR for any language, preprocessing step is necessary.

Full Text:



Dineshkumar.R, Dr.Suganthi.J “A Research Survey of Sanskrit Offline Handwritten Character Recognition” International Journal of Scientific and Research Publications, Volume 3, Issue 1, January 2013.

Swapnil A. Vaidya, Balaji R. Bombade, “A Novel Approach of Handwritten Character Recognition using Positional Feature Extraction”, IJCSMC, Vol. 2, Issue. 6, June 2013, pg.179 – 186.

Jomy John, Pramod K. V, Kannan Balakrishnanm, “Handwritten Character Recognition of South Indian Scripts: A Review”, National Conference on Indian Language Computing, Kochi, Feb 19-20, 2011

S. Manke, U. Bodenhausen, .A connectionist recognizer for online cursive handwriting recognition., Proceedings of ICASSP 94, Vol. 2, 1994, pp 633-636.

Shanthi N and Duraiswami K, “A Novel SVM -based Handwritten Tamil character recognition system”, springer, Pattern Analysis & Applications,Vol-13, No. 2, 173-180,2010.

Sutha J and RamaRaj N, “Neural network based offline Tamil handwritten character recognition System”, International Conference on Conference on Computational Intelligence and Multimedia Vol : 2, page(s): 446 – 450, 2007.

Jagadeesh Kumar R, Prabhakar R and Suresh R.M, “Off-line Cursive Handwritten Tamil Characters Recognition”, International Conference on Security Technology, page(s): 159 – 164, 2008.

Anil.K.Jain and Torfinn Taxt, “Feature extraction methods for character recognition-A Survey,” Pattern Recognition, vol. 29, no. 4, pp. 641 -662, 1996.

L. R. B. Schomaker, H. L. Teulings, .A handwriting recognition system based on the properties and architectures of the human motor system., Proceedings of the IWFHR, CENPARMI, Concordia, Montreal, 1990, pp 195-211.



  • There are currently no refbacks.

Abava  Кибербезопасность IT congress 2023

ISSN: 2307-8162