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4 May 2009 Low-cost mobile video-based iris recognition for small databases
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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