A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Local Fisher discriminant analysis for supervised dimensionality reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
FES: A System for Combining Face, Ear and Signature Biometrics Using Rank Level Fusion
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Multimodal biometric system using rank-level fusion approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition
Image and Vision Computing
Periocular biometrics in the visible spectrum: a feasibility study
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Personal identification using periocular skin texture
Proceedings of the 2010 ACM Symposium on Applied Computing
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Fusion of Periocular and Iris Biometrics in Non-ideal Imagery
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Image analysis with local binary patterns
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
IEEE Transactions on Circuits and Systems for Video Technology
The results of the NICE.II Iris biometrics competition
Pattern Recognition Letters
Image security and biometrics: a review
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
A review of information fusion techniques employed in iris recognition systems
International Journal of Advanced Intelligence Paradigms
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As biometrics has evolved, the iris has remained a preferred trait because its uniqueness, lifetime stability and regular shape contribute to good segmentation and recognition performance. However, commercially deployed systems are characterized by strong acquisition constraints based on active subject cooperation, which is not always achievable or even reasonable for extensive deployment in everyday scenarios. Research on new techniques has been focused on lowering these constraints without significantly impacting performance while increasing system usability, and new approaches have rapidly emerged. Here we propose a novel fusion of different recognition approaches and describe how it can contribute to more reliable noncooperative iris recognition by compensating for degraded images captured in less constrained acquisition setups and protocols under visible wavelengths and varying lighting conditions. The proposed method was tested at the NICE.II (Noisy Iris Challenge Evaluation - Part 2) contest, and its performance was corroborated by a third-place finish.