Low-cost mobile video-based iris recognition for small databases

N. Luke Thomas; Yingzi Du; Sriharsha Muttineni; Shing Mang; Dylan Sran

doi:10.1117/12.818896

4 May 2009 Low-cost mobile video-based iris recognition for small databases

N. Luke Thomas, Yingzi Du, Sriharsha Muttineni, Shing Mang, Dylan Sran

Proceedings Volume 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009; 73510D (2009) https://doi.org/10.1117/12.818896
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

N. Luke Thomas, Yingzi Du, Sriharsha Muttineni, Shing Mang, and Dylan Sran "Low-cost mobile video-based iris recognition for small databases", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510D (4 May 2009); https://doi.org/10.1117/12.818896

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