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Preprocessing Method of Fingerprint Images in Layered Neural Networks for Individual Identifcation

机译:分层神经网络中指纹图像个体识别的预处理方法

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We constructed individual identification system of fingerprint in three-layered neural networks, and investigated the effect of fast Fourier transform (FFT) and inverse FFT (IFFT) preprocessing on the performance of individual identification system in layered neural networks. In order to identify individual robustly for degradation of fingerprint images, we suggested the preprocessing method of FFT and inverse FFT (IFFT) in spite of being off-line images. From the results, we found that layered neural networks and the preprocessing method of FFT and IFFT were useful for the identification system with high performance. This may be useful for the feature extraction of fingerprint images
机译:我们构建了三层神经网络中的指纹个体识别系统,并研究了快速傅里叶变换(FFT)和逆FFT(IFFT)预处理对分层神经网络中个体识别系统性能的影响。为了可靠地识别个体,以降低指纹图像的质量,我们建议采用FFT和逆FFT(IFFT)的预处理方法,尽管它们是离线图像。从结果中我们发现,分层神经网络以及FFT和IFFT的预处理方法对于高性能的识别系统很有用。这对于指纹图像的特征提取可能很有用

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