A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
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AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
On the individuality of the iris biometric
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Fake iris detection based on multiple wavelet filters and hierarchical SVM
ICISC'06 Proceedings of the 9th international conference on Information Security and Cryptology
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We describe in this paper efficient techniques for iris recognition system with high performance from the practical point of view. These techniques range every step for an iris recognition system from the image acquisition step to the final step, the pattern matching, and contain as follows: a method of evaluating the quality of an image in the image acquisition step and excluding it from the subsequent processing if it is not appropriate, a bisection-based Hough transform method on the edge components for detecting the center of the pupil and localizing the iris area from an eye image, an elastic body model for transforming the localized iris area into a simple coordination system, and a compact and efficient feature extraction method which is based on 2D multiresolution wavelet transform. By exploiting these techniques, we can improve the system performance in terms of computationally efficient, and more accurate and robust against noises.