Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Iris Localization for Iris Recognition in Cellular Phone
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
Iris Localization with Dual Coarse-to-fine Strategy
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Iris boundary detection using a novel algorithm
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
A new accurate technique for iris boundary detection
WSEAS Transactions on Computers
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The paper presents a fast algorithm for iris detection. The idea behind the algorithm comes from well-known Daugman's circular edge detector based on smoothed integro-differential operators. We use binning instead of convolution which is a bit more suitable for new generation of application processors (e.g. AP7000 from Atmel)and new CMOS imagers offering binning on demand. We also reformulated the inner function of the operator. These two steps allow for finding geometrical parameters of iris somewhat faster and with, we believe, comparable robustness offered by Daugman's solution. In the paper the idea, the implementation and some results of rough tests of the code running on AP7000 application processor are presented. Also, possible improvements are discussed.