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- W2145192865 abstract "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: 1) preprocessing, where a handwritten numeral is scanned, normalized, and then thinned; 2) a robust algorithm is developed to segment the scanned numeral image into stroke(s), based on feature points; and 3) 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." @default.
- W2145192865 created "2016-06-24" @default.
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- W2145192865 date "2002-11-22" @default.
- W2145192865 modified "2023-10-14" @default.
- W2145192865 title "Recognition of handwritten Hindi numerals using structural descriptors" @default.
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- W2145192865 doi "https://doi.org/10.1109/icsmc.1997.638075" @default.
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