Recognition of 2D Object Contours Using the Wavelet Transform Zero-Crossing Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns
International Journal of Computer Vision
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris Recognition with Low Template Size
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Personal Identification Based on Iris Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Experimental Evaluation of Iris Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
An improved handwritten Chinese character recognition system using support vector machine
Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
Experiments with an Improved Iris Segmentation Algorithm
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Meticulously Detailed Eye Region Model and Its Application to Analysis of Facial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting eye blink states by tracking iris and eyelids
Pattern Recognition Letters
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
Iris recognition for partially occluded images: methodology and sensitivity analysis
EURASIP Journal on Applied Signal Processing
Iris-based personal authentication using a normalized directional energy feature
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Iris verification using correlation filters
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Iris feature extraction using independent component analysis
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Selection of optimal features for iris recognition
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
An efficient iris segmentation method for recognition
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
A phase-based iris recognition algorithm
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Graph matching iris image blocks with local binary pattern
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Iris authentication using privatized advanced correlation filter
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Fake iris detection by using purkinje image
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Global texture analysis of iris images for ethnic classification
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Iris recognition in mobile phone based on adaptive gabor filter
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Iris recognition with support vector machines
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
IEEE Transactions on Information Forensics and Security
Performance analysis of iris-based identification system at the matching score level
IEEE Transactions on Information Forensics and Security
Improving iris recognition accuracy via cascaded classifiers
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multiobjective GAs, quantitative indices, and pattern classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The multicomponent AM-FM image representation
IEEE Transactions on Image Processing
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
Iris Identification Using Geometrical Wavelets
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Hybrid intelligent techniques for MRI brain images classification
Digital Signal Processing
Iris features extraction using beamlets and wedgelets
Machine Graphics & Vision International Journal
An Improved Medical Decision Support System to Identify the Breast Cancer Using Mammogram
Journal of Medical Systems
A review of information fusion techniques employed in iris recognition systems
International Journal of Advanced Intelligence Paradigms
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The selection of the optimal features subset and the classification have become an important issue in the field of iris recognition. We propose a feature selection scheme based on the multiobjectives genetic algorithm (MOGA) to improve the recognition accuracy and asymmetrical support vector machine for the classification of iris patterns. We also suggest a segmentation scheme based on the collarette area localization. The deterministic feature sequence is extracted from the iris images using the 1D log-Gabor wavelet technique, and the extracted feature sequence is used to train the support vector machine (SVM). The MOGA is applied to optimize the features sequence and to increase the overall performance based on the matching accuracy of the SVM. The parameters of SVM are optimized to improve the overall generalization performance, and the traditional SVM is modified to an asymmetrical SVM to treat the false accept and false reject cases differently and to handle the unbalanced data of a specific class with respect to the other classes. Our experimental results indicate that the performance of SVM as a classifier is better than the performance of the classifiers based on the feedforward neural network, the k-nearest neighbor, and the Hamming and the Mahalanobis distances. The proposed technique is computationally effective with recognition rates of 99.81% and 96.43% on CASIA and ICE datasets, respectively.