A realtime, memory efficient fingerprint verification system

Author

Yang, Shenglin ; Verbauwhede, Ingrid

Author_Institution

Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA

Volume

5

fYear

2004

fDate

17-21 May 2004

Abstract

Creating a biometric verification system in an energy and area constrained embedded environment is a challenging problem. Our paper describes a secure and efficient embedded fingerprint verification system for the "ThumbPod" embedded device, in which a complete real-time fingerprint recognition module, including both the minutiae extraction and the matching, works on a 50 MHz LEON-2 processor. As a result of the proposed SW/HW accelerations and memory optimizations, we achieve 65% reduction on the execution time and 67% reduction on the memory size against the reference implementation.

Keywords

embedded systems; feature extraction; fingerprint identification; image matching; optimisation; 50 MHz; SW/HW accelerations; ThumbPod; area constrained embedded environment; biometric verification; energy constrained environment; execution time reduction; fingerprint recognition module; matching; memory efficient fingerprint verification system; memory optimizations; minutiae extraction; realtime fingerprint verification; Biometrics; Biosensors; CMOS image sensors; Fingerprint recognition; Fingers; Image matching; Image storage; NIST; Signal processing algorithms; Software algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1327079

Filename

1327079