TY - GEN
T1 - Iris recognition in mobile phone based on adaptive gabor filter
AU - Jeong, Dae Sik
AU - Park, Hyun Ae
AU - Park, Kang Ryoung
AU - Kim, Jaihie
PY - 2006
Y1 - 2006
N2 - As the security of personal information is becoming more important in mobile phones, we apply iris recognition technology to mobile device. Different from conventional iris recognition system used for access control, user puts the mobile phone by hands in this case. So, optical and motion blurring happens, frequently. In addition, most users have tendencies to use the mobile phone in outdoor and sunlight (which includes much amount of IR(Infra-Red) light) may have much effect on the input iris image in spite of the visible light cut filter attached in front of iris camera lens. To overcome such problems, we propose a new method of extracting the accurate iris code based on AGF (Adaptive Gabor Filter). The kernel size, frequency and amplitude of Gabor filter are determined by the amount of blurring and sunlight in input image, adaptively. Experimental results show that the EER by our propose method is 0. 14 %.
AB - As the security of personal information is becoming more important in mobile phones, we apply iris recognition technology to mobile device. Different from conventional iris recognition system used for access control, user puts the mobile phone by hands in this case. So, optical and motion blurring happens, frequently. In addition, most users have tendencies to use the mobile phone in outdoor and sunlight (which includes much amount of IR(Infra-Red) light) may have much effect on the input iris image in spite of the visible light cut filter attached in front of iris camera lens. To overcome such problems, we propose a new method of extracting the accurate iris code based on AGF (Adaptive Gabor Filter). The kernel size, frequency and amplitude of Gabor filter are determined by the amount of blurring and sunlight in input image, adaptively. Experimental results show that the EER by our propose method is 0. 14 %.
UR - http://www.scopus.com/inward/record.url?scp=33744948471&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33744948471
SN - 3540311114
SN - 9783540311119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 457
EP - 463
BT - Advances in Biometrics - International Conference, ICB 2006, Proceedings
T2 - International Conference on Biometrics, ICB 2006
Y2 - 5 January 2006 through 7 January 2006
ER -