Gabor features for offline Arabic handwriting recognition

@inproceedings{Chen2010GaborFF,
  title={Gabor features for offline Arabic handwriting recognition},
  author={Jin Chen and Huaigu Cao and Rohit Prasad and Anurag Bhardwaj and Premkumar Natarajan},
  booktitle={Document Analysis Systems},
  year={2010}
}
Many feature extraction approaches for off-line handwriting recognition (OHR) rely on accurate binarization of gray-level images. However, high-quality binarization of most real-world documents is extremely difficult due to varying characteristics of noises artifacts common in such documents. Unlike most of these features, Gabor features do not require binarization of the document images, and thus are likely to be more robust to noises in document images. To demonstrate the efficacy of our… CONTINUE READING
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