Printed and Handwritten Mixed Kannada Numerals Recognition Using SVM

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 single 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 represented 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 handwritten and printed numerals, each of size 2500. The experiment is carried using five-fold cross validation method and yielded recognition accuracy of 97.76%.

[1]  Basanna V. Dhandra,et al.  Multi-font Numeral Recognition without Thinning based on Directional Density of Pixels , 2007, 2006 1st International Conference on Digital Information Management.

[2]  Tetsushi Wakabayashi,et al.  Handwritten Numeral Recognition of Six Popular Indian Scripts , 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

[3]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[4]  King-Sun Fu,et al.  Shape Discrimination Using Fourier Descriptors , 1977, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Jean-Paul Gauthier,et al.  Generalized Fourier Descriptors with Applications to Objects Recognition in SVM Context , 2007, Journal of Mathematical Imaging and Vision.

[6]  B. B. Chaudhuri,et al.  A MLP Classifier for Both Printed and Handwritten Bangla Numeral Recognition , 2006, ICVGIP.

[7]  David G. Stork,et al.  Pattern Classification , 1973 .

[8]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  G. G. Rajput,et al.  Fourier Descriptor based Isolated Marathi Handwritten Numeral Recognition , 2010 .

[10]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[11]  G. G. Rajput,et al.  Recognition of Isolated Handwritten Kannada Numerals Based on Image Fusion Method , 2007, PReMI.

[12]  Anil K. Jain,et al.  Feature extraction methods for character recognition-A survey , 1996, Pattern Recognit..

[13]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[14]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[15]  Bidyut Baran Chaudhuri,et al.  Indian script character recognition: a survey , 2004, Pattern Recognit..

[16]  V. K. Govindan,et al.  Character recognition - A review , 1990, Pattern Recognit..

[17]  Cheng-Lin Liu,et al.  Handwritten digit recognition: benchmarking of state-of-the-art techniques , 2003, Pattern Recognit..