Analysis of physical ageing effects in iris biometrics
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2010.0165?crawler=true&mimetype=application/pdf
Reference33 articles.
1. Kalka, N.D., Zuo, J., Schmid, N.A., and Cukic, B.: ‘Image quality assessment for iris biometric’, (Society of Photo-Optical Instrumentation Engineers, Bellingham, WA 2006),6202, ETATS-UNIS
2. A Selective Feature Information Approach for Iris Image-Quality Measure
3. Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures
4. Transforming Traditional Iris Recognition Systems to Work in Nonideal Situations
5. Toward Accurate and Fast Iris Segmentation for Iris Biometrics
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