DocumentCode :
3764224
Title :
Multispectral Texture Features from Visible and Near-Infrared Synthetic Face Images for Face Recognition
Author :
Hyung-Il Kim;Seung Ho Lee;Yong Man Ro
Author_Institution :
Sch. of Electr. Eng., KAIST Daejeon, Daejeon, South Korea
fYear :
2015
Firstpage :
593
Lastpage :
596
Abstract :
Recently, high-performance face recognition has attracted research attention in real-world scenarios. Thanks to the advances in sensor technology, face recognition system equipped with multiple sensors has been widely researched. Among them, face recognition system with near-infrared imagery has been one important research topic. In this paper, complementary effect resided in face images captured by nearinfrared and visible rays is exploited by combining two distinct spectral images (i.e., face images captured by near-infrared and visible rays). We propose a new texture feature (i.e., multispectral texture feature) extraction method with synthesized face images to achieve high-performance face recognition with illumination-invariant property. The experimental results show that the proposed method enhances the discriminative power of features thanks the complementary effect.
Keywords :
"Face","Feature extraction","Image color analysis","Lighting","Face recognition","Sensors","Infrared image sensors"
Publisher :
ieee
Conference_Titel :
Multimedia (ISM), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/ISM.2015.95
Filename :
7442402
Link To Document :
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