Face recognition using wavelet packets decomposition and Hopfield neural network

Junying Gan, Mengfei Liu
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引用次数: 2

Abstract

In this paper, we use edge information for face recognition. In order to get more details but less noise of an image, we decomposed the image with wavelet packets before the process of edge detection. After the edge detection, a logical data which only contains elements of 0 or 1 was introduced to the Hopfield neural network. The proposed algorithm is tested on ORL face database and the result is found to be perfect.
基于小波包分解和Hopfield神经网络的人脸识别
在本文中,我们利用边缘信息进行人脸识别。为了得到图像中更多的细节和更少的噪声,我们在边缘检测之前对图像进行小波包分解。边缘检测后,将只包含0或1元素的逻辑数据引入Hopfield神经网络。在ORL人脸数据库上对该算法进行了测试,得到了较好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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