Pupil dilation degrades iris biometric performance
Computer Vision and Image Understanding
Image Averaging for Improved Iris Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Iris recognition using signal-level fusion of frames from video
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Using fragile bit coincidence to improve iris recognition
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
A novel method using contourlet to extract features for iris recognition system
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
A novel and efficient method to extract features and vector creation in iris recognition system
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Degradation of iris recognition performance due to non-cosmetic prescription contact lenses
Computer Vision and Image Understanding
AI challenges in iris recognition. processing tools for bath iris image database
ICAI'10 Proceedings of the 11th WSEAS international conference on Automation & information
Robust iris verification based on local and global variations
EURASIP Journal on Advances in Signal Processing
Scale invariant gabor descriptor-based noncooperative iris recognition
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
A contrario detection of false matches in iris recognition
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Shifting score fusion: on exploiting shifting variation in iris recognition
Proceedings of the 2011 ACM Symposium on Applied Computing
On combining selective best bits of iris-codes
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Secure and efficient protocols for iris and fingerprint identification
ESORICS'11 Proceedings of the 16th European conference on Research in computer security
CMS'11 Proceedings of the 12th IFIP TC 6/TC 11 international conference on Communications and multimedia security
On the commonality of iris biometrics
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Efficient method of person authentication based on fusion of best bits in left and right irises
International Journal of Biometrics
Feature selection on handwriting biometrics: security aspects of artificial forgeries
CMS'12 Proceedings of the 13th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
Sensitivity analysis for biometric systems: A methodology based on orthogonal experiment designs
Computer Vision and Image Understanding
Consistency analysis on orientation features for fast and accurate palmprint identification
Information Sciences: an International Journal
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Iris biometric systems apply filters to iris images to extract information about iris texture. Daugman's approach maps the filter output to a binary iris code. The fractional Hamming distance between two iris codes is computed and decisions about the identity of a person are based on the computed distance. The fractional Hamming distance weights all bits in an iris code equally. However, not all the bits in an iris code are equally useful. Our research is the first to present experiments documenting that some bits are more consistent than others. Different regions of the iris are compared to evaluate their relative consistency, and contrary to some previous research, we find that the middle bands of the iris are more consistent than the inner bands. The inconsistent-bit phenomenon is evident across genders and different filter types. Possible causes of inconsistencies, such as segmentation, alignment issues, and different filters are investigated. The inconsistencies are largely due to the coarse quantization of the phase response. Masking iris code bits corresponding to complex filter responses near the axes of the complex plane improves the separation between the match and nonmatch Hamming distance distributions.