Biometric System Design for Iris Recognition Using Intelligent Algorithms
Muthana H. Hamd,Samah K. Ahmed +1 more
TL;DR: Results approve that Fourier descriptors method as feature extractor has better accuracy rate than principle component analysis.
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Abstract: An iris recognition system for identifying human identity using two feature extraction methods is proposed and implemented. The first approach is the Fourier descriptors, which is based on transforming the uniqueness iris texture to the frequency domain. The new frequency domain features could be represented in irissignature graph. The low spectrums define the general description of iris pattern while the fine detail of iris is represented as high spectrum coefficients. The principle component analysis is used here to reduce the feature dimensionality as a second feature extraction and comparative method. The biometric system performance is evaluated by comparing the recognition results for fifty persons using the two methods. Three classifiers have been considered to evaluate the system performance for each approach separately. The classification results for Fourier descriptors on three classifiers satisfied 86% 94%, and 96%, versus 80%, 92%, and 94% for principle component analysis when Cosine, Euclidean, and Manhattan classifiers were applied respectively. These results approve that Fourier descriptors method as feature extractor has better accuracy rate than principle component analysis.
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References
Evaluation of shape descriptors for shape-based image retrieval
TL;DR: A comparative study between scale, rotation and translation invariant descriptors for shape representation and retrieval showed that moment descriptors present the best performance in terms of shape representation quality while ART presents the lowest descriptor size.
137
Principal Component Analysis: Application to Statistical Process Control
Gilbert Saporta,Ndèye Niang +1 more
- 27 Jan 2010
TL;DR: PCA can also be use d a a multivariate outlier detection method, especially by studying the last p rincipal components, which is useful in multidimensional quality control.
74
•Book
Feature Extraction & Image Processing for Computer Vision, Third Edition
Mark S. Nixon,Alberto S. Aguado +1 more
- 09 Oct 2012
TL;DR: This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab, and contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking.
71
Automated personal identification system based on human iris analysis
TL;DR: The novelty of this algorithm includes improving the speed and accuracy of the iris segmentation process, assessing theiris image quality such that only the clear images are accepted so as to reduce the recognition error, and producing a feature vector with discriminating texture features and a proper dimensionality to improve the recognition accuracy and computational efficiency.
33
Discriminant iris feature and support vector machines for iris recognition
Byungjun Son,Hyunsuk Won,Gyundo Kee,Yillbyung Lee +3 more
- 24 Oct 2004
TL;DR: One of the major discriminative learning methods, namely, Direct Linear Discriminant Analysis (DLDA) is presented and the multiresolution wavelet transform is applied to extract the unique feature from the acquired iris image and to decrease the complexity of computation when using DLDA.
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