A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Feature Extraction and Indexing by Hermite Filters
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
A Half-Eye Wavelet Based Method for Iris Recognition
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The multiscale Hermite transform for local orientation analysis
IEEE Transactions on Image Processing
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In this work we propose an alternative image representation model to efficiently characterize iris textures based on the Hermite transform. The Hermite transform can simulate some properties of the mammalian visual system and it is founded on a well established mathematical framework. These properties are used to extract the most important information of the iris textures. The results show that the Hermite transform is able to characterize iris textures as well as the Gabor model, with the advantage on the second that the discrete analysis filters in the Hermite transform are given by the Krawtchouk polynomials and, it is not needed to compute the filter coefficients by means of optimization methods, nor to suppress the zero mean (d.c. response). The proposed iris recognition system achieved an overall performance of 97.34% and a Correct Access Rate (CAR) of 90.29% when the False Access Rate (FAR) was closed to zero.