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 %.
|Title of host publication||Advances in Biometrics - International Conference, ICB 2006, Proceedings|
|Number of pages||7|
|Publication status||Published - 2006|
|Event||International Conference on Biometrics, ICB 2006 - Hong Kong, China|
Duration: 2006 Jan 5 → 2006 Jan 7
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||International Conference on Biometrics, ICB 2006|
|Period||06/1/5 → 06/1/7|
Bibliographical noteFunding Information:
This work was supported by the National Natural Science Foundation of China (Grant No. 51574256).
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)