IEEE Transactions on Pattern Analysis and Machine Intelligence
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
A New Fake Iris Detection Method
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Personal authentication using hand vein triangulation and knuckle shape
IEEE Transactions on Image Processing
Image processing algorithms for an auto focus system for slit lamp microscopy
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Iris biometrics for embedded systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Fake iris detection based on multiple wavelet filters and hierarchical SVM
ICISC'06 Proceedings of the 9th international conference on Information Security and Cryptology
Statistical texture analysis-based approach for fake iris detection using support vector machines
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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For fast iris recognition, it is very important to capture the user's focused eye image at fast speed. Previous researchers have used the focusing method which has been applied to general landscape scenes without considering the characteristics of the iris image. So, they take much focusing time, especially in the case of the user with glasses. To overcome such problems, we propose a new iris image acquisition method to capture focused eye images at very fast speed based on corneal specular reflection. Experimental results show that the focusing time for both users with and without glasses averages 480 ms, and we conclude that our method can be used for the real-time iris recognition camera.