Iris recognition in mobile phone based on adaptive gabor filter

Authors:
Dae Sik Jeong;Hyun-Ae Park;Kang Ryoung Park;Jaihie Kim
Affiliations:
Department of Computer Science, Biometrics Engineering Research Center (BERC), Sangmyung University, Seoul, Republic of Korea;Department of Computer Science, Biometrics Engineering Research Center (BERC), Sangmyung University, Seoul, Republic of Korea;Division of Media Technology, Biometrics Engineering Research Center (BERC), Sangmyung University, Seoul, Republic of Korea;Biometrics Engineering Research Center (BERC), Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

Citing 9
Cited 7

Digital image processing: principles and applications

Digital image processing: principles and applications
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society

Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Guest Editors' Introduction: Biometrics-The Future of Identification

Computer
High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal Identification Based on Iris Texture Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Iris Recognition Method Using Independent Component Analysis

IEICE - Transactions on Information and Systems
Practical gaze point computing method by 3d position estimation of facial and eye features

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
A human identification technique using images of the iris andwavelet transform

IEEE Transactions on Signal Processing
How iris recognition works

IEEE Transactions on Circuits and Systems for Video Technology

Iris recognition based on score level fusion by using SVM

Pattern Recognition Letters
Image understanding for iris biometrics: A survey

Computer Vision and Image Understanding
Optimal features subset selection and classification for iris recognition

Journal on Image and Video Processing - Regular
A novel method using contourlet to extract features for iris recognition system

ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
A novel and efficient method to extract features and vector creation in iris recognition system

KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Score optimization and template updating in a biometric technique for authentication in mobiles based on gestures

Journal of Systems and Software
Magnetic signatures in air for mobile devices

MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services companion

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 %.