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A study on structural method of feature extraction for Handwritten Character Recognition

This paper presents the study reports of major process involved in a handwritten character recognition system. We focus on the various feature extraction techniques as the recognition mainly depends on the features extraction. After studying the various features we have modified an existing feature extraction technique by introducing two more feature vectors. After the introduction of these two new vectors we found a considerable increase in the percentage of recognition. Keywords— Handwritten, character, recognition, feature extraction, optical scanner, classification