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Proceedings Paper

Efficient search and retrieval in biometric databases
Author(s): Amit J. Mhatre; Srinivas Palla; Sharat Chikkerur; Venu Govindaraju
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Paper Abstract

Biometric identification has emerged as a reliable means of controlling access to both physical and virtual spaces. Fingerprints, face and voice biometrics are being increasingly used as alternatives to passwords, PINs and visual verification. In spite of the rapid proliferation of large-scale databases, the research has thus far been focused only on accuracy within small databases. In larger applications, response time and retrieval efficiency also become important in addition to accuracy. Unlike structured information such as text or numeric data that can be sorted, biometric data does not have any natural sorting order. Therefore indexing and binning of biometric databases represents a challenging problem. We present results using parallel combination of multiple biometrics to bin the database. Using hand geometry and signature features we show that the search space can be reduced to just 5% of the entire database.

Paper Details

Date Published: 28 March 2005
PDF: 9 pages
Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); doi: 10.1117/12.604173
Show Author Affiliations
Amit J. Mhatre, Univ. at Buffalo (United States)
Srinivas Palla, Univ. at Buffalo (United States)
Sharat Chikkerur, Univ. at Buffalo (United States)
Venu Govindaraju, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 5779:
Biometric Technology for Human Identification II
Anil K. Jain; Nalini K. Ratha, Editor(s)

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