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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15329

Title: A Comparative Study of Hand Recognition Systems
Authors: G. Amayeh
G. Bebis
M. Hussain
Keywords: Biometrics, hand, performance evaluation.
Issue Date: 2010
Abstract: Abstract — Hand-based recognition represents a key biometric technology with a wide range of potential applications both in industry and government. By far, many different handbased recognition algorithms have been developed. This paper presents a comparative study to evaluate the performance of three state of the art hand-based recognition methods. Using the University of Nevada at Reno (UNR) and the University of Notre Dame (UND) hand databases, we compare a geometricbased method, a component-based approach using Zernike moments, and an algorithm employing 3D finger surface features. Both recognition and authentication experiments have been conducted to investigate the performance and robustness of the three methods. Our experimental results show that Zernike descriptors yield features that are more robust and accurate compared to hand geometric features and 3D finger surface features. Key words: Biometrics, hand, performance evaluation. I.
URI: http://hdl.handle.net/123456789/15329
Appears in Collections:College of Computer and Information Sciences

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