Face recognition based on near-infrared light using mobile phone

Song Yi Han, Hyun Ae Park, Dal Ho Cho, Kang Ryoung Park, Sangyoun Lee

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

11 Citations (Scopus)


Recently, many companies have attempted to adopt biomeric technology in their mobile phones. In this paper, we propose a new NIR (NearInfra-Red) lighting face recognition method for mobile phones by using megapixel camera image. This paper presents four advantages and contributions over previous research. First, we propose a new eye detection method for face localization for mobile phones based on corneal specular reflections. To detect these SRs (Specular Reflections) (even for users with glasses), we propose successive On/Off activation of the dual NIR illuminators of mobile phone. Second, because the face image is captured by the NIR illuminator, the nose area can be highly saturated, which can degrade face recognition accuracy. To overcome this problem, we use a simple logarithmic image enhancement method, which is suitable for mobile phones with low processing power. Third, considering the low processing speed of mobile phones, we adopt integer-based PCA (Principal Component Analysis) method for face recognition excluding floating-point operation. Fouth, by comparing the recognition performance using the integer-based PCA to those using LDA (Linear Discriminant Analysis) and ICA (Independent Component Analysis) methods, we could know that the integer-based PCA showed better performance apt for mobile phone with NIR image.

Original languageEnglish
Title of host publicationAdaptive and Natural Computing Algorithms - 8th International Conference, ICANNGA 2007, Proceedings
PublisherSpringer Verlag
Number of pages9
EditionPART 2
ISBN (Print)9783540715900
Publication statusPublished - 2007
Event8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007 - Warsaw, Poland
Duration: 2007 Apr 112007 Apr 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4432 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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