CCS '99 Proceedings of the 6th ACM conference on Computer and communications security
Handbook of Applied Cryptography
Handbook of Applied Cryptography
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Cancelable Biometric Filters for Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
New shielding functions to enhance privacy and prevent misuse of biometric templates
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
Local feature extraction for iris recognition with automatic scale selection
Image and Vision Computing
EURASIP Journal on Advances in Signal Processing
A taxonomy of biometric system vulnerabilities and defences
International Journal of Biometrics
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A dual-factor authentication methodology coined as S-Iris Encoding is proposed based on the iterated inner-products between the secret pseudo-random number and the iris feature, and with thresholding to produce a unique compact binary code per person. A thresholding method is devised to exclude the weak inner-product during the encoding process, and thus contribute to the improvement of performance. S-Iris Encoding is primary formulated based on the cancelable biometrics principle to protect against biometrics fabrication. The problem could be rectified by S-Iris code through the token replacement so that a new code can be generated instantly just as a new credit card number can be issued if the old one is compromised. Besides that, S-Iris code is non-invertible and can only contribute to the authentication process when both genuine biometrics template and token are presented. By applying S-Iris Encoding with weak inner-product exclusion, the original iris feature length can be greatly reduced to around 4% of the original size and a 0% of equal error rate (EER) can be attained in CASIA Iris image database.