Face recognition based on near-infrared light using mobile phone

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

Volumn 4432 LNCS, Issue PART 2, 2007, Pages 440-448

  Han, Song Yi ^a   Park, Hyun Ae ^b   Cho, Dal Ho ^a   Park, Kang Ryoung ^a   Lee, Sangyoun ^c  

^a Sangmyung University   (South Korea)

^b Pixelplus Company Ltd   (South Korea)

^c Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMECHANICS; CAMERAS; IMAGE ANALYSIS; INFRARED RADIATION; MOBILE PHONES;

BIOMERIC TECHNOLOGY; MEGAPIXEL CAMERA IMAGES; NEAR-INFRARED LIGHT;

FACE RECOGNITION;

EID: 38049066476     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71629-7_50     Document Type: Conference Paper

References (18)

1. Shi-Qian Wu, et al., : Infrared Face Recognition by Using Blood Perfusion Data, Lecture Notes in Computer Science, Vol. 3546, (2005) 320-328
2. www.idiap.ch/pages/contenuTxt/Demos/demo29/face_finderfake.html (accessed on 09.01)
3. Stan Z. Li, et al., : Highly Accurate and Fast Face Recognition Using Near Infrared Images, Lecture Notes in Computer Science, Vol. 3832, (2006) 151-158
4. C.H. Morimoto, et al., : Real-time Multiple Face Detection Using Active Illumination, Proceedings of ICAFGR, (2000), 8-13
5. Xuan Zou, et al., : Ambient Illumination Variation Removal by Active Near-IR Imaging, Lecture Notes in Computer Science, Vol. 3832, (2006) 19-25
6. J. Dowdall, et al., : Face Detection in the Near-IR Spectrum, Image and Vision Computing, Vol. 21 (2003) 565-578
7. Diego A. Socolinsky et al., : Face Recognition in Low-light Environments Using Fusion of Thermal Infrared and Intensified Imagery, Proceedings of SPIE, Vol. 6206, 2006
8. K. H. Pun et al., : A Face Authentication System for Mobile Devices: Optimization Techniques, Proceedings of SPIE, Vol. 5684, pp. 265-273, 2005
9. www.samsung.com (accessed on 09.01)
10. Hyun-Ae Park, et al. : Robust Iris Locating Method for Iris Recognition in Mobile Phone based on Corneal Specular Reflection and AdaBoost Classifier, Pattern Recognition Letters, (2006) submitted
11. Byung Joon Kang, Kang Ryoung Park,: A Study on Fast Iris Restoration Based on Focus Checking, LNCS, Vol. 4069, (2006) 19-28
12. Wen-Hung Liao; Dai-Yun Li : Homomorphic Processing Techniques for Near-infrared Images. Proceedings of ICASSP, Vol.3 (2003) 461-464
13. M. Turk et al., : Eigenfaces for Recognition. Journal of Cognitive Neuroscience, Vol. 3, No. 1 (1991) 71-86
14. M.S. Barlett, J.R. Movellan, T.J. Sejnowski : Face Recognition by Independent Component Analysis. IEEE Trans. on Neural Networks, Vol. 13, No. 6 (2002) 1450-1464
15. P.Belhumeur, J. Hespanha, D.Kriegman : Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Trans. on PAMI, Vol. 19, No. 7 (1997) 711-720
16. A.M.Martinez, A.C.Kak : PCA versus LDA. IEEE Trans. on Pattern Analysis and Machine Intelligence Vol. 23 , No. 2 (2001) 228-233
17. MPEG, Call for Proposals for Face Recognition Technology, ISO/IEC JTC1/SC29/WG11/N3676, La Baule, October 23-27, 2000.
18. www.hp.com (accessed on 09.01)