Classification of Handwritten Digits using Two Feature Spaces

نویسنده

  • Charles Otto
چکیده

Handwritten digit recognition is an important and challenging problem in pattern recognition. This paper reports on experiments done on the MNIST set of handwritten digits, using two different feature spaces and a variety of classifiers on each space. Performance is compared to benchmarks in the field. Table of

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تاریخ انتشار 2008