Using Two-Dimensional Gabor Filters for Handwritten Digit Recognition
نویسنده
چکیده
A feature extraction method for handwritten digit using Gabor filterbank is proposed. I designed a Gabor filterbank which uniformly covers the frequency domain with each filter captures the energy of a localized frequency. The obtained Gabor feature vectors are subjected to the task of classification and feature selection. A comparison against pixel features is presented. Mixing pixel and Gabor features for feature selection and classification is also evaluated.
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