PCA Based English Handwritten Digit Recognition

Yogish Naik G R, Amani Ali Ahmed Ali

Abstract


In this paper, a digit Recognition system is designed using the Principal Component Analysis (PCA), a method of extraction of characteristics based on the digit forms, combined with k-Nearest Neighbor to recognize the numeral digits, this approach is tested on the MNIST handwritten isolated digit database. This proposed method shows an excellent performance with higher accuracy, Achieved approximately 86.5%.

Keywords


Recognition of isolated digit, MNIST digit, PCA, k-nearest neighbor, Extraction of the characteristics

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References


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DOI: https://doi.org/10.26483/ijarcs.v8i5.3253

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