Recognition of Isolated Handwritten Kannada Numerals Based on Image Fusion Method

  • G. G. Rajput
  • Mallikarjun Hangarge
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4815)


This paper describes a system for isolated Kannada handwritten numerals recognition using image fusion method. Several digital images corresponding to each handwritten numeral are fused to generate patterns, which are stored in 8x8 matrices, irrespective of the size of images. The numerals to be recognized are matched using nearest neighbor classifier with each pattern and the best match pattern is considered as the recognized numeral.The experimental results show accuracy of 96.2% for 500 images, representing the portion of trained data, with the system being trained for 1000 images. The recognition result of 91% was obtained for 250 test numerals other than the trained images. Further to test the performance of the proposed scheme 4-fold cross validation has been carried out yielding an accuracy of 89%.


Recognition Rate Image Fusion Pattern Matrix Image Fusion Method Handwritten Digit Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • G. G. Rajput
    • 1
  • Mallikarjun Hangarge
    • 1
  1. 1.Dept. Of Computer Science, Gulbarga University,Gulbarga 

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