Iris image segmentation and sub-optimal images
Image and Vision Computing
Exploring multispectral Iris recognition beyond 900nm
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Periocular biometrics in the visible spectrum: a feasibility study
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Unconstrained iris acquisition and recognition using COTS PTZ camera
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
New iris recognition method for noisy iris images
Pattern Recognition Letters
Multispectral palmprint recognition using Image-Based Linear Discriminant Analysis
International Journal of Biometrics
Liveness detection for iris recognition using multispectral images
Pattern Recognition Letters
A review of advances in iris image acquisition system
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
A review of information fusion techniques employed in iris recognition systems
International Journal of Advanced Intelligence Paradigms
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This paper explores the possibility of using multispectral iris information to enhance the recognition performance of an iris biometric system. Commercial iris recognition systems typically sense the iridal reflection pertaining to the near-infrared (IR) range of the electromagnetic spectrum. This work examines the iris information represented in the visible and IR portion of the spectrum. It is hypothesized that, based on the color of the eye, different components of the iris are highlighted at multiple wavelengths. To this end, an acquisition procedure for obtaining co-registered multispectral iris images associated with the IR, Red, Green and Blue wavelengths of the electromagnetic spectrum, is first discussed. The components of the iris that are revealed in multiple spectral channels/wavelengths based on the color of the eye are studied. An adaptive histogram equalization scheme is invoked to enhance the iris structure. The performance of iris recognition across multiple wavelengths is next evaluated. Experiments indicate the potential of using multispectral information to enhance the performance of iris recognition systems.