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Face detection method based on neural network and Bayesian decision
一种基于神经网络和贝叶斯决策的人脸检测方法*

Keywords: face detection,BP(back propagation) neural network,simulation,Bayesian decision
人脸检测
,反向传播神经网络,仿真,贝叶斯决策,神经网络,贝叶斯,决策修正,人脸图像,检测方法,Bayesian,decision,neural,network,based,detection,method,有效性,性能,正确率,实验分析,检测判定,使用,仿真结果,网络仿真,利用

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Abstract:

Putting forward a face detection method which make use of BP neural network simulation and fixed the results of the simulation by Bayesian decision. Discussed the deficiency in face detection of BP neural network which was single used, and put forward a re-decision method by Bayesian decision. There were 4 000 face and non-face images which came from MITEx face database were used to complete the experiment, and the correct rate raised 3.63%. The results show the well distinguish effect of neural network, as well as the efficiency and necessary of Bayesian decision.

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