Author Login IJIRT Partner Network (IPN) Login

Performance Evaluation of Fuzzy c-means and Adaptive Neuro-fuzzy Inference System for Handwritten Numeral recognition

  • Unique Paper ID: 156378
  • Volume: 9
  • Issue: 3
  • PageNo: 457-459
  • Abstract:
  • 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.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 3
  • PageNo: 457-459

Performance Evaluation of Fuzzy c-means and Adaptive Neuro-fuzzy Inference System for Handwritten Numeral recognition

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry