Statistical Feature Extraction Methods for Isolated Handwritten Gurumukhi Script

نویسندگان

  • Dharam Veer Sharma
  • Geeta Saini
  • Mohit Joshi
چکیده

In this Paper we have used moment based Statistical methods for Feature extraction like Zernike, Pseudo-Zernike methods. Handwritten Gurmukhi isolated characters are used for feature extraction. Our database consists of 75-115 samples of each of 40 characters of Gurmukhi script collected from different writers. These samples are preprocessed, normalized and scaled to 48*48 sizes. Feature extraction at various moment orders has been done. Reconstruction of the sample images are done to check the accuracy of the computed features.

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تاریخ انتشار 2012