Recognition of Handwritten Digits using Histogram of Oriented Gradients
نویسنده
چکیده
Off-line recognition of text plays a significant role in several applications, such as cheque verification and mail sorting. However, the selection of the technique for feature extraction remains a big challenging step for achieving high recognition accuracy. This paper presents an efficient handwritten digit recognition system based on HOG to capture the discriminative features of digit image. HOG features are extracted from all locations of a grid on the normalised digit image. These features are fed to the ANN for the purpose of classification. This work is tested with the ADBase database containing 70,000 digit images and a comparison is made against some of the existing techniques and promising results are obtained.
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