A Majority Voting Scheme for Multiresolution Recognition of Handprinted Numerals

  • Authors:
  • U. Bhattacharya;B. B. Chaudhuri

  • Affiliations:
  • -;-

  • Venue:
  • ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
  • Year:
  • 2003

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Abstract

This paper proposes a simple voting scheme for off-linerecognition of handprinted numerals. One of the main featuresof the proposed scheme is that this is not script dependent.Another interesting feature is that it is sufficiently fastfor real-life applications. In contrast to the usual practices,here we studied the efficiency of a majority voting approachwhen all the classifiers involved are multilayer perceptrons(MLP) of different sizes and respective features are basedon wavelet transforms at different resolution levels. Therationale for this approach is to explore how one can improvethe recognition performance without adding much tothe requirements for computational time and resources. Forsimplicity and efficiency, in the present work, we consideredonly three coarse-to-fine resolution levels of wavelet representation.We primarily simulated the proposed techniqueon a database of off-line handprinted Bangla (a major Indianscript) numerals. We achieved 97.16% correct recognitionrate on a test set of 5000 Bangla numerals. In thissimulation we used two other disjoint sets (one for trainingand the other for validation purpose) of sizes 6000 and 1000respectively. We have also tested our approach on MNISTdatabase for handwritten English digits. The result is comparablewith state-of-the-art technologies.