Handwritten Digit Recognition Based on Principal Component Analysis and Support Vector Machines

Abstract

Handwritten digit recognition has always been a challenging task in pattern recognition area. In this paper we explore the performance of support vector machines (SVM) and principal component analysis (PCA) on handwritten digits recognition. The performance of SVM on handwritten digits recognition task is compared with three typical classification methods… (More)
DOI: 10.1007/978-3-642-23321-0_93

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