High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris Recognition Algorithm Using Modified Log-Gabor Filters
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
An iris and retina multimodal biometric system
International Journal of Security and Networks
Iris recognition at a distance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Effect of Severe Image Compression on Iris Recognition Performance
IEEE Transactions on Information Forensics and Security
On Techniques for Angle Compensation in Nonideal Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
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Iris recognition is a well-studied biometric technique that is both reliable and convenient. The paper focuses on the hypothesis that due to the rich structure of the iris data, a portion of the iris data could render results comparable to those achieved by processing the full data. Experiments are conducted on partial iris data using Daugman|s algorithm. Using the phase orientation of Daugman|s algorithm, only half of the iris data was examined in a series of tests. Identical irises were identified using partial data in most cases. For those cases that a match could not be found, the similarity score for identical irises was still significantly higher than that for different irises. The results support the promise of making the iris recognition a covert technique with many applications in security.