基于小波变换和神经网络的人脸识别

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI:10.1109/IMCEC.2016.7867481

Yu Fan, W. Zhu, Guangzhou Bai, Taibo Li

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引用次数: 3

摘要

在阐述小波变换、神经网络和小波神经网络原理的基础上，研究了基于神经网络和基于小波神经网络的两种人脸识别方法。在算法仿真的基础上，给出了两者的特点和区别。仿真结果表明，利用小波神经网络进行人脸识别可以大大提高准确率。

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Face recognition based on wavelet transform and neural network

On the basis of explaining the principles of wavelet transform, neural network, and wavelet neural network, the paper examines two methods of face recognition: one is based on neural network, the other is based on wavelet neural network. The paper also offers the features and differences based on algorithmic simulation. The result of the stimulation reveals that face recognition using wavelet neural network can largely increase the accuracy rate.

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来源期刊

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

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