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
MSE bounds for phase estimation in presence of recursive nuisance parameters
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
Iris feature extraction using directional filter bank for personal identification
Proceedings of the 2nd Bangalore Annual Compute Conference
Noisy Iris Verification: A Modified Version of Local Intensity Variation Method
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Non-intrusive Personalized Mental Workload Evaluation for Exercise Intensity Measure
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Comparison and combination of iris matchers for reliable personal authentication
Pattern Recognition
A highly accurate and computationally efficient approach for unconstrained iris segmentation
Image and Vision Computing
Robust iris recognition algorithm for non-cooperative environment
International Journal of Biometrics
A new unconstrained iris image analysis and segmentation method in biometrics
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Iris recognition using signal-level fusion of frames from video
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
A computational efficient Iris extraction approach in unconstrained environments
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Iris recognition: an entropy-based coding strategy robust to noisy imaging environments
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Estimating and fusing quality factors for iris biometric images
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
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
Some issues of biometrics: technology intelligence, progress and challenges
International Journal of Information Technology and Management
Iris recognition based on robust iris segmentation and image enhancement
International Journal of Biometrics
Adaboost and multi-orientation 2D Gabor-based noisy iris recognition
Pattern Recognition Letters
New iris recognition method for noisy iris images
Pattern Recognition Letters
Weighted co-occurrence phase histogram for iris recognition
Pattern Recognition Letters
Iris recognition in non-ideal imaging conditions
Pattern Recognition Letters
An iris recognition approach with SIFT descriptors
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Iris recognition based on bidimensional empirical mode decomposition and fractal dimension
Information Sciences: an International Journal
A review of information fusion techniques employed in iris recognition systems
International Journal of Advanced Intelligence Paradigms
Postmatch pruning of SIFT pairs for iris recognition
International Journal of Biometrics
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This paper focus on noncooperative iris recognition, i.e., the capture of iris images at large distances, under less controlled lighting conditions, and without active participation of the subjects. This increases the probability of capturing very heterogeneous images (regarding focus, contrast, or brightness) and with several noise factors (iris obstructions and reflections). Current iris recognition systems are unable to deal with noisy data and substantially increase their error rates, especially the false rejections, in these conditions. We propose an iris classification method that divides the segmented and normalized iris image into six regions, makes an independent feature extraction and comparison for each region, and combines each of the dissimilarity values through a classification rule. Experiments show a substantial decrease, higher than 40 percent, of the false rejection rates in the recognition of noisy iris images.