7 March 2012 Fingerprint verification with scratch feature for personal portable devices
SangWoo Sin, Dongju Li, Tsuyoshii Isshik, Hiroaki Kunieda
Author Affiliations +
Abstract
Most conventional fingerprint verifications use minutiae information as features. However, some fingerprints have many scratches that can make minutiae extraction quite difficult to capture with enough accuracy. This paper presents a new fingerprint verification system that can cover normal and scratched fingerprints and can be implemented on personal portable devices such as smartphones. The system separates those fingerprints with serious scratches and extracts the scratches as an additional matching feature, thereby expanding the number and type of fingerprints accepted by the application. A simplified gabor filtering technique enables embedded systems to provide real-time verification for scratched fingerprints. In an evaluation of a fingerprint test database, in which 25% of the fingerprints have scratches, the new verification system reduced the zero false acceptance rate (FARzero) by approximately 71% compared with the simple minutiae method. Furthermore, the new system expanded coverage and increased performance.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
SangWoo Sin, Dongju Li, Tsuyoshii Isshik, and Hiroaki Kunieda "Fingerprint verification with scratch feature for personal portable devices," Optical Engineering 51(2), 027204 (7 March 2012). https://doi.org/10.1117/1.OE.51.2.027204
Published: 7 March 2012
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Gaussian filters

Feature extraction

Embedded systems

Optical engineering

Databases

Linear filtering

Convolution

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