Recognition Of Handwritten Hindi Numerals Using Structural Descriptors

A method for the recognition of handwritten Hindi numerals is proposed based on structural descriptors of numeral shapes. The method consists of three major steps. The first one is preprocessing, where a handwritten numeral is scanned, normalized, and then thinned. Next, a robust algorithm is developed to segment the scanned numeral image into stroke(s), based on feature points, and to identify cavity features. The output of this algorithm is a syntactic representation (that is one or more syntactic terms) of the scanned numeral. Finally, the syntactic representation is matched against a set of syntactic representation prototypes of handwritten numerals and the recognition result is reported. Early experimental results are encouraging and prove the tolerance of the proposed system to recognize a high variability of numeral shapes.