The Research of Face Recognition Method Based on Wavelet Transform

Li Hong Bi; Yan Fang Ma; Li Hua Piao

doi:10.4028/www.scientific.net/AMR.442.463

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 442The Research of Face Recognition Method Based on...

The Research of Face Recognition Method Based on Wavelet Transform

Abstract:

Face recognition is a kind of biometric identification technology possessing great development potential, researching on this technology has great theoretical values. The paper presents a method of image block principal component analysis (PCA) based on wavelet transform. The image was firstly disposed by wavelet transform and segmented, then we set the different weight values for each of parts according to the different role in the overall image and extract eigenvector using the PCA, finally, the face image is recognized according to the eigenvector and feature. This method can improve the speed and accuracy, reduce the complexity of feature extraction and improve the speed of recognition.

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Periodical:

Advanced Materials Research (Volume 442)

Pages:

463-467

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.442.463

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Online since:

January 2012

Authors:

Li Hong Bi, Yan Fang Ma, Li Hua Piao

Keywords:

Face Recognition, Principal Component Analysis (PCA), Wavelet Transform (WT)

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