Recognition of handwritten Hindi numerals using structural descriptors

A. Elnagar, F. Al-Kharousi, S. Harous

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)983-988
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA
Duration: Oct 12 1997Oct 15 1997

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture


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