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Proceedings Paper

Low-cost mobile video-based iris recognition for small databases
Author(s): N. Luke Thomas; Yingzi Du; Sriharsha Muttineni; Shing Mang; Dylan Sran
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Paper Abstract

This paper presents a low-cost method for providing biometric verification for applications that do not require large database sizes. Existing portable iris recognition systems are typically self-contained and expensive. For some applications, low cost is more important than extremely discerning matching ability. In these instances, the proposed system could be implemented at low cost, with adequate matching performance for verification. Additionally, the proposed system could be used in conjunction with any image based biometric identification system. A prototype system was developed and tested on a small database, with promising preliminary results.

Paper Details

Date Published: 5 May 2009
PDF: 7 pages
Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510D (5 May 2009); doi: 10.1117/12.818896
Show Author Affiliations
N. Luke Thomas, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Yingzi Du, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Sriharsha Muttineni, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Shing Mang, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Dylan Sran, Indiana Univ.-Purdue Univ. Indianapolis (United States)


Published in SPIE Proceedings Vol. 7351:
Mobile Multimedia/Image Processing, Security, and Applications 2009
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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