Neural network face recognition using statistical feature extraction

El-Khamy, S.E., Abdel-Alim, O.,Saii, M.M.

Minufiya（2000）

被引用13|浏览2

摘要

Recognition method of human face using statistical analysis feature extraction and a neural network algorithm is proposed. In the preprocessing step we detect the edges of the face image by using the Sobel algorithm. Then we propose a new method to transform the two-dimension black and white image to a one-dimension vector. Finally, based on the statistical analysis, we extract seven features. In the recognition step we use the fast backpropagation (FBP) algorithm. Computer simulation results with 100 test images of 10 persons (the images of each person in a various pauses, facial expression, and facial details) show that the proposed method yields a high recognition rate

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关键词

backpropagation,digital simulation,edge detection,face recognition,feature extraction,neural nets,statistical analysis,1D vector,2D black and white image,Sobel algorithm,computer simulation results,edge detection,face image,facial details,facial expression,fast backpropagation algorithm,high recognition rate,neural network algorithm,neural network face recognition,one-dimension vector,preprocessing,statistical analysis,statistical feature extraction,test images,

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