DocumentCode :
469226
Title :
Handwritten Devnagari Numerals Recognition with Higher Accuracy
Author :
Lakshmi, C. Vasantha ; Jain, Ritu ; Patvardhan, C.
Volume :
3
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
255
Lastpage :
259
Abstract :
Numeral recognition is the process of recognizing scanned images of machine printed or handwritten numbers. This has numerous applications including those in postal sorting and bank cheque processing. In this work, an effective method is proposed for recognition of isolated handwritten Devnagari numerals. The method incorporates in novel way ideas regarding edge directions histograms and splines along with PCA for enabling recognition accuracies that are better than those reported in the literature.
Keywords :
handwriting recognition; handwritten character recognition; image recognition; bank cheque processing; handwritten Devnagari numeral recognition; postal sorting; scanned image recognition; Character recognition; Handwriting recognition; Histograms; Image recognition; Natural languages; Optical character recognition software; Principal component analysis; Signal processing algorithms; Sorting; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
Type :
conf
DOI :
10.1109/ICCIMA.2007.443
Filename :
4426377
Link To Document :
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