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A new feature extraction method based on Fourier transform in handwriting digits recognition

机译:基于傅立叶变换的手写数字识别新特征提取方法

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摘要

Fourier transform (FT) is a kind of efficient feature extraction method. In this paper, we mainly discuss the most frequently used feature extraction methods based on FT in the field of handwriting digits recognition and propose a new method, called the one dimensional FT feature extraction method based on sum and difference. We have implemented this method to off-line recognition of handwriting digits, and it has been proved by experiments that this method is effective.
机译:傅立叶变换(FT)是一种有效的特征提取方法。在本文中,我们主要讨论了在手写数字识别领域最常用的基于FT的特征提取方法,并提出了一种新的方法,即基于和与差的一维FT特征提取方法。我们已经实现了该方法以离线识别手写数字,并且已经通过实验证明了该方法是有效的。

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