DocumentCode :
2155007
Title :
A novel infrared face recognition method in DCT domain
Author :
Xie, Zhi-hua ; Liu, Guo-dong ; Wu, Shi-qian ; Fang, Zhi-Jun ; Yun, Gan
Author_Institution :
Key Lab. of Opt.-Electron. & Commun., Jiangxi Sci. & Technol. Normal Coll., Nanchang, China
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
12
Lastpage :
16
Abstract :
A novel infrared face recognition method using blood perfusion conversion and DCT is proposed in this paper. Firstly, the blood perfusion image instead of thermal image is used to get the stable biological features. Secondly, due to the low-resolution of the infrared images, the feature extraction method (Linear Discriminative Analysis in DCT domain) is chosen to get the principle features in the blood perfusion image, which is suitable for real-time application. A new feature selection algorithm in DCT domain is applied to lessen the small sample problem of LDA. The experiments illustrate that the feature selection algorithm in DCT domain is effective in getting the discriminant features and the proposed method has better performance compared with the traditional DCT and LDA method.
Keywords :
biomedical optical imaging; discrete cosine transforms; face recognition; feature extraction; haemorheology; infrared imaging; DCT domain; blood perfusion conversion; feature extraction method; feature selection algorithm; infrared face recognition method; infrared image; linear discriminative analysis; thermal image; Blood; Discrete cosine transforms; Face; Face recognition; Feature extraction; Principal component analysis; Blood perfusion; DCT; Feature selection; Infrared face recognition; LDA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6530-9
Type :
conf
DOI :
10.1109/ICWAPR.2010.5576458
Filename :
5576458
Link To Document :
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