A new method of NIR face recognition using kernel projection DCV and neural networks

Ya Qiao; Yuan Lu; Yun-song Feng; Feng Li; Yongshun Ling

doi:10.1117/12.2032609

11 September 2013 A new method of NIR face recognition using kernel projection DCV and neural networks

Ya Qiao, Yuan Lu, Yun-song Feng, Feng Li, Yongshun Ling

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89071M (2013) https://doi.org/10.1117/12.2032609
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

A new face recognition system was proposed, which used active near infrared imaging system (ANIRIS) as face images acquisition equipment, used kernel discriminative common vector (KDCV) as the feature extraction algorithm and used neural network as the recognition method. The ANIRIS was established by 40 NIR LEDs which used as active light source and a HWB800-IR-80 near infrared filter which used together with CCD camera to serve as the imaging detector. Its function of reducing the influence of varying illuminations to recognition rate was discussed. The KDCV feature extraction and neural network recognition parts were realized by Matlab programming. The experiments on HITSZ Lab2 face database and self-built face database show that the average recognition rate reached more than 95%, proving the effectiveness of proposed system.

Citation Download Citation

Ya Qiao, Yuan Lu, Yun-song Feng, Feng Li, and Yongshun Ling "A new method of NIR face recognition using kernel projection DCV and neural networks", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89071M (11 September 2013); https://doi.org/10.1117/12.2032609

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