Title: A brief survey on multispectral iris recognition

Authors: Kaushik Roy; Joseph Shelton; Albert Esterline

Addresses: Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27410, USA ' Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27410, USA ' Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27410, USA

Abstract: In this survey, we report the current state of the art of multispectral iris recognition methods. We discuss the existing multispectral iris recognition schemes in the contexts of image acquisition, iris segmentation, texture analysis, matching, and performance evaluation. Other important research includes experimental evaluations, image databases, applications and systems, spectral ranges, and multispectral fusion that may affect the multispectral iris recognition.

Keywords: multispectral iris recognition; image segmentation; feature extraction; cross-spectral matching; biometrics; image acquisition; iris segmentation; texture analysis; performance evaluation; spectral ranges; multispectral fusion.

DOI: 10.1504/IJAPR.2016.082235

International Journal of Applied Pattern Recognition, 2016 Vol.3 No.4, pp.308 - 323

Received: 14 Apr 2016
Accepted: 20 Jun 2016

Published online: 13 Feb 2017 *

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