Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
An efficient iris recognition system based on modular neural networks
NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks
Optimal features subset selection and classification for iris recognition
Journal on Image and Video Processing - Regular
A New Fake Iris Detection Method
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
Robust iris recognition algorithm for non-cooperative environment
International Journal of Biometrics
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Palmprint identification using PCA algorithm and hierarchical neural network
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Iris recognition using genetic algorithms and asymmetrical SVMs
Machine Graphics & Vision International Journal
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
On combining selective best bits of iris-codes
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Ensemble of local and global information for finger-knuckle-print recognition
Pattern Recognition
Graph matching iris image blocks with local binary pattern
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Efficient method of person authentication based on fusion of best bits in left and right irises
International Journal of Biometrics
Statistical texture analysis-based approach for fake iris detection using support vector machines
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
A review of information fusion techniques employed in iris recognition systems
International Journal of Advanced Intelligence Paradigms
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As a reliable approach to human identification, iris recognition has received increasing attention in recent years. The most distinguishing feature of an iris image comes from the fine spatial changes of the image structure. So iris pattern representation must characterize the local intensity variations in iris signals. However, the measurements from minutiae are easily affected by noise, such as occlusions by eyelids and eyelashes, iris localization error, nonlinear iris deformations, etc. This greatly limits the accuracy of iris recognition systems. In this paper, an elastic iris blob matching algorithm is proposed to overcome the limitations of local feature based classifiers (LFC). In addition, in order to recognize various iris images efficiently a novel cascading scheme is proposed to combine the LFC and an iris blob matcher. When the LFC is uncertain of its decision, poor quality iris images are usually involved in intra-class comparison. Then the iris blob matcher is resorted to determine the input iris' identity because it is capable of recognizing noisy images. Extensive experimental results demonstrate that the cascaded classifiers significantly improve the system's accuracy with negligible extra computational cost.