We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Robust Iris Recognition Using Moment Invariants.
- Authors
Kaur, Bineet; Singh, Sukhwinder; Kumar, Jagdish
- Abstract
Iris recognition under less constrained environment poses a challenge to be considered for high-security applications. In this paper, discrete orthogonal moment-based features including Tchebichef, Krawtchouk and Dual-Hahn are proposed which prove to be effective for both near-infrared and visible images. The local as well as global features are extracted from localized iris regions till 15th order with invariance (scale, rotation, translation and illumination) properties and tolerance to noise. The performance of the moment-based features is evaluated on four publicly available databases: CASIA-IrisV4-Interval, IITD.v1, UPOL and UBIRIS.v2. It is found that the proposed method gives encouraging results in terms of accuracy, equal error rate and decidability index as compared to the competing techniques available in the literature.
- Subjects
IRIS recognition; BIOMETRIC identification; NEAR infrared radiation; RETINA; DISCRETE cosine transforms; FAST Fourier transforms; SUPPORT vector machines
- Publication
Wireless Personal Communications, 2018, Vol 99, Issue 2, p799
- ISSN
0929-6212
- Publication type
Article
- DOI
10.1007/s11277-017-5153-8