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Comparison of Two Feature Extraction Method Based on the Raw Form and Skeleton for MNIST Database

Keywords: Optical character recognition , neural network , feature extraction , MNIST database , skeletonization

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Abstract:

In this paper, we present a comparison of two few extraction methods based on the raw form and the skeleton. The experimental results show the benefit of using these methods compared with other conventional approaches; the findings have been applied on the MNIST database. The paper presents the evaluation work for the comparison of the two methods and provides conclusions based on the study outcomes.

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