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

10 Citations (Scopus)

Abstract

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
Pages440-448
Number of pages9
Volume4432 LNCS
EditionPART 2
Publication statusPublished - 2007 Dec 1
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

Other

Other8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007
CountryPoland
CityWarsaw
Period07/4/1107/4/14

Fingerprint

Mobile Phone
Face recognition
Face Recognition
Mobile phones
Infrared
Infrared radiation
Principal component analysis
Principal Component Analysis
Integer
Face
Image Enhancement
Image enhancement
Independent component analysis
Independent Component Analysis
Floating point
Discriminant analysis
Processing
Discriminant Analysis
Activation
Logarithmic

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Han, S. Y., Park, H. A., Cho, D. H., Park, K. R., & Lee, S. (2007). Face recognition based on near-infrared light using mobile phone. In Adaptive and Natural Computing Algorithms - 8th International Conference, ICANNGA 2007, Proceedings (PART 2 ed., Vol. 4432 LNCS, pp. 440-448). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4432 LNCS, No. PART 2).
Han, Song Yi ; Park, Hyun Ae ; Cho, Dal Ho ; Park, Kang Ryoung ; Lee, Sangyoun. / Face recognition based on near-infrared light using mobile phone. Adaptive and Natural Computing Algorithms - 8th International Conference, ICANNGA 2007, Proceedings. Vol. 4432 LNCS PART 2. ed. 2007. pp. 440-448 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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title = "Face recognition based on near-infrared light using mobile phone",
abstract = "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.",
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Han, SY, Park, HA, Cho, DH, Park, KR & Lee, S 2007, Face recognition based on near-infrared light using mobile phone. in Adaptive and Natural Computing Algorithms - 8th International Conference, ICANNGA 2007, Proceedings. PART 2 edn, vol. 4432 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4432 LNCS, pp. 440-448, 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, Warsaw, Poland, 07/4/11.

Face recognition based on near-infrared light using mobile phone. / Han, Song Yi; Park, Hyun Ae; Cho, Dal Ho; Park, Kang Ryoung; Lee, Sangyoun.

Adaptive and Natural Computing Algorithms - 8th International Conference, ICANNGA 2007, Proceedings. Vol. 4432 LNCS PART 2. ed. 2007. p. 440-448 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4432 LNCS, No. PART 2).

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

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T1 - Face recognition based on near-infrared light using mobile phone

AU - Han, Song Yi

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AU - Cho, Dal Ho

AU - Park, Kang Ryoung

AU - Lee, Sangyoun

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

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M3 - Conference contribution

SN - 9783540715900

VL - 4432 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 440

EP - 448

BT - Adaptive and Natural Computing Algorithms - 8th International Conference, ICANNGA 2007, Proceedings

ER -

Han SY, Park HA, Cho DH, Park KR, Lee S. Face recognition based on near-infrared light using mobile phone. In Adaptive and Natural Computing Algorithms - 8th International Conference, ICANNGA 2007, Proceedings. PART 2 ed. Vol. 4432 LNCS. 2007. p. 440-448. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).