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A Survey on Gujarati Handwritten OCR using Morphological Analysis

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  • Vaidehi Patel
  • Abhinay Pandya

Abstract

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. Handwriting recognition can be differentiated into two categories i.e. online handwriting recognition and Offline handwriting recognition. I mainly focus on offline handwriting ecognition. It is also observed that majority of work for this language is for printed form rather than handwritten form. One can obtain very less OCR related research work for Gujarati script, especially for handwritten form. I use Freeman chain code for feature extraction and then used Hidden Markov method. There is no benchmark dataset is available so it is generated by collecting sample from more than 100 writers of different age group and gender.

Suggested Citation

  • Vaidehi Patel & Abhinay Pandya, 2016. "A Survey on Gujarati Handwritten OCR using Morphological Analysis," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 157-160, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset162237
    Note: Article URL: https://ijsrset.com/IJSRSET162237
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