A technical introduction to digital video
A technical introduction to digital video
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable and Fast Eye Finding in Close-up Images
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Use of Artificial Color filtering to improve iris recognition and searching
Pattern Recognition Letters
A Bayesian Approach to Deformed Pattern Matching of Iris Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris recognition using multi-resolution transforms
International Journal of Biometrics
An investigation of factors affecting biometric technology adoption in a developing country context
International Journal of Biometrics
Robust iris recognition algorithm for non-cooperative environment
International Journal of Biometrics
Robust iris indexing scheme using geometric hashing of SIFT keypoints
Journal of Network and Computer Applications
An efficient iris recognition using local feature descriptor
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
UBIRIS: a noisy iris image database
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
A Fast Search Algorithm for a Large Fuzzy Database
IEEE Transactions on Information Forensics and Security
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Speed-up multi-stage non-cooperative iris recognition
International Journal of Biometrics
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This paper presents a new iris indexing technique based on iris colour. Blue and red indices are computed from the chrominance values of the pixels and indexing methods are proposed by combining these indices. The performance measures such as the hit rate and the penetration rate computed on the colour iris databases, namely UBIRIS (Proenca and Alexandre, 2005), and UPOL (Dobes and Machala, 2004), show the effectiveness of the iris colour for indexing large iris databases. From the experimental results, it is observed that the indexing method with set intersection-based combination of indices achieves the best performance with a hit rate above 98% and the penetration rate less than 25%.