In this paper focus is on recognition of handwritten characters of Devanagari script. Recognition of Devanagari handwritten alphabets is important because of its applicability to a number of problems like many commercial forms, mythological records recognition in archeology department and offline document recognition generated by the expanding technological society. Though various new trends and technologies emerged in these days, still handwriting is playing an important role. To recognize handwritten data there are different strategies like Hidden Markov Models (HMM) and Simplified Fuzzy ARTMAP (SFAM). Our focus is on Fuzzy ARTMAP, which is an updated version of Predictive Adaptive Resonance Theory, works on feedback mechanism. It also has an ability to adjust clusters as per the requirements, which is beneficial to reduce noise.

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Pattern Recognition Hmm Simplified Fuzzy Artmap