Robust identity verification based on infrared face images

Soon Won Jung, Youngsung Kim, Andrew Beng Jin Teoh, Kar Ann Toh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Face recognition using visible-image (RGB) has been found to be largely affected by variation of illuminations and face expressions. Relatively, the infrared-image (IR) shows certain robustness with respect to the above external factors. In this work, we focus on identity verification using IR face images and study its robustness in response to variation of above environmental factors and expression. The well-known Principal Component Analysis (PCA) technique and another dimension reduction method, Random Projection (RP) are adopted to extract necessary IR face features for identity matching. To boost the verification performance, several fusion techniques are proposed and investigated. Our empirical experiments show reasonable effectiveness using IR and its contour images as well as using fusion method for identity verification under several varying conditions.

Original languageEnglish
Title of host publication2007 International Conference on Convergence Information Technology, ICCIT 2007
Pages2066-2071
Number of pages6
DOIs
Publication statusPublished - 2007
Event2nd International Conference on Convergent Information Technology, ICCIT 07 - Gyongju, Korea, Republic of
Duration: 2007 Nov 212007 Nov 23

Publication series

Name2007 International Conference on Convergence Information Technology, ICCIT 2007

Other

Other2nd International Conference on Convergent Information Technology, ICCIT 07
CountryKorea, Republic of
CityGyongju
Period07/11/2107/11/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication
  • Information Systems and Management

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