Zone Based Feature Extraction Techniques For Bangla Numerals Recognition

نویسندگان

  • Gita Sinha
  • Biresh Kumar
چکیده

This paper proposed a methodology for Handwritten Bangla numerals Recognition using zone based Feature Extraction Techniques. Every numeral image is pre-processed, segmented and feature are Extracted from each zone. In this paper we present, three zone based feature extraction techniques which is namely: image Centroid zone(ICZ), zone centroid zone (ZCZ) and hybrid feature extraction techniques which is combination of (ICZ+ZCZ).Recognition of the numerals is completed through combining SVM classifier respectively corresponding to the three types of features. The recognition rate of this method is 97.21% on handwritten bangle numeral database. Key termImage centroid zone(ICZ), Zone centroid zone (ZCZ) and support vector machine (SVM).

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تاریخ انتشار 2014