Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-06-12
Proc. 4th International Workshop on Soft Computing Applications, pp. 191-196, IEEE Press, July 2010
Computer Science
Computer Vision and Pattern Recognition
6 pages, 4 figures, latest version: http://fmi.spiruharet.ro/bodorin/
Scientific paper
10.1109/SOFA.2010.5565599
This papers introduces a new family of iris encoders which use 2-dimensional Haar Wavelet Transform for noise attenuation, and Hilbert Transform to encode the iris texture. In order to prove the usefulness of the newly proposed iris encoding approach, the recognition results obtained by using these new encoders are compared to those obtained using the classical Log- Gabor iris encoder. Twelve tests involving single/multienrollment and conducted on Bath Iris Image Database are presented here. One of these tests achieves an Equal Error Rate comparable to the lowest value reported so far for this database. New Matlab tools for iris image processing are also released together with this paper: a second version of the Circular Fuzzy Iris Segmentator (CFIS2), a fast Log-Gabor encoder and two Haar-Hilbert based encoders.
Balas Valentina E.
Popescu-Bodorin Nicolaie
No associations
LandOfFree
Comparing Haar-Hilbert and Log-Gabor Based Iris Encoders on Bath Iris Image Database does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Comparing Haar-Hilbert and Log-Gabor Based Iris Encoders on Bath Iris Image Database, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Comparing Haar-Hilbert and Log-Gabor Based Iris Encoders on Bath Iris Image Database will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-428848