ZENITH International Journal of Multidisciplinary Research
  • Year: 2015
  • Volume: 5
  • Issue: 7

Neuro-fuzzy based methods for classification and recognition of handwritten Modi characters

  • Author:
  • A. S. Ramteke1, G. S. Katkar2
  • Total Page Count: 8
  • Page Number: 29 to 36

1Researcher, Dept. of Electronics & Computer Sci, RTM Nagpur University

2Head, Dept. of Computer Sci., Arts, Commerce & Science College, Koradi, Nagpur

Online published on 2 July, 2015.

Abstract

In this chapter we analyze the performance of DDCT algorithms for the recognition of handwritten Modi characters, These are statistical methods suitable for the recognition of cursive handwriiten characters. These methods are used for feature extraction and classification of handwritten characters. We have used Fuzzy Gaussian Membership method used as a classifier.

Keywords

DDCT, DWT, KNN, Neuro-Fuzzy, OCR