Printed and Handwritten Mixed Kannada Numerals Recognition Using SVM
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 5
Abstract
A mixer of printed and handwritten numerals may appear in a single document such as application forms, postal mail, and official documents. The process of identifying of such mixed numerals and sending it to respective OCRs is a complex task. In this paper, we present a novel method for recognition of printed and hand written isolated Kannada numerals using ingle OCR system. Printed/hand written Kannada numeral is scan converted to binary image and normalized to a size of 40 x 40 pixels. The boundary of the numeral is traced and chain code of the image is determined. These codes are epresented in a complex plane and 10 dimensional Fourier descriptors are computed that form the feature vector. The 10 dimensional Fourier descriptors are input to multi-class SVM classifier to recognize the numeral class. The proposed algorithm is experimented on 5000 numeral images consisting of he experiment is carried using five-fold cross validation method and yielded recognition accuracy of 97.76%.
Authors and Affiliations
G. G. Rajput, , Rajeswari Horakeri, , Sidramappa Chandrakant
Keywords
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