Performance Evaluation of Fuzzy c-means and Adaptive Neuro-fuzzy Inference System for Handwritten Numeral recognition
Aditya A Jinturkar, Dr. S.P. Shrikhande, Dr. Prashant P Agnihotri, Dr. Prakash B Khanale
C-means, Chain code, Fuzzy C-Means, ANFIS
The Handwritten mixed multi digit recognition for Marathi Language is also area of thrust for many researchers. This study is useful to recognize the correct numerals for handwritten bank withdrawal form. Many systems have been developed using soft computing paradigms such as Artificial Neural Networks, Fuzzy logic-based methods. Hybrid soft computing techniques have been also implemented to solve multi digit numeral recognition. In this paper, the problem of handwritten Marathi numeral recognition using different soft computing techniques have been implemented that are Fuzzy C-means and ANFIS. For feature extraction; chain code has been used. Proposed system is implemented on primary database containing 250 samples of Marathi handwritten numerals.
Article Details
Unique Paper ID: 156378

Publication Volume & Issue: Volume 9, Issue 3

Page(s): 457 - 459
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews