Handwritten Character Recognition – A Review

  • Nath S S
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Abstract

-In the field of pattern recognition, HCR is one of the most intricate and tricky area. Plenty of works were proposed for foreign languages but a few works exists for south Indian languages due to the complex shape and varying writing styles of individuals. This paper introduces a review of offline and online recognition of different natural languages. HCR is an optical character recognition, which convert the textual document in to machine readable format. To attain 99.9 % accuracy in the field of HCR is very difficult. The efficiency of HCR depend the features extracted and the classifier used.

Author-supplied keywords

  • Adaboost
  • Artificial Neural Network
  • Contourlet
  • Curvelet
  • Gabor filter
  • K-Nearest Neighbor
  • MQDF
  • Ridgelet
  • Support Vector Machine

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Authors

  • Surya R Nath S

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