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@article{156378,
        author = {Aditya A Jinturkar and Dr. S.P. Shrikhande and Dr. Prashant P Agnihotri and Dr. Prakash B Khanale},
        title = {Performance Evaluation of Fuzzy c-means and Adaptive Neuro-fuzzy Inference System for Handwritten Numeral recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {3},
        pages = {457-459},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=156378},
        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.},
        keywords = {C-means, Chain code, Fuzzy C-Means, ANFIS},
        month = {},
        }