A BEMD based muti-layer face matching: From near infrared to visual images

Due to different light spectral, facial images captured in visible light are quite distinguished from that in near infrared, degrading the performance of the general methods of face recognition. In this paper, a new method based on BEMD to match facial images from near infrared to visible light is p...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 3; pp. 1634 - 1640
Main Authors Ming Shao, Yun-Hong Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Authentication
BEMD
Biometrics
Cybernetics
Face recognition
Image recognition
Infrared imaging
Infrared spectra
Lighting
Machine learning
Near infrared
Probes
Visual images
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Summary:Due to different light spectral, facial images captured in visible light are quite distinguished from that in near infrared, degrading the performance of the general methods of face recognition. In this paper, a new method based on BEMD to match facial images from near infrared to visible light is proposed. Since BEMD can decompose an image into multiple hierarchical components known as bidimensional intrinsic mode functions, recognition or verification from near infrared to visual images can be carried out on muti-layer rather than simply one-to-one match. Besides, intrinsic structure invariant to spectral changes contained in images between them can be extracted using BEMD which greatly enhances the recognition or verification rate. Experiments show promising result of our methods.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212319