Fake-fingerprint detection using multiple static features

Heeseung Choi; Raechoong Kang; Kyoungtaek Choi; Andrew Teoh Beng Jin; Jai Hie Kim

doi:10.1117/1.3114606

1 April 2009 Fake-fingerprint detection using multiple static features

Heeseung Choi, Raechoong Kang, Kyoungtaek Choi, Andrew Teoh Beng Jin, Jai Hie Kim

Author Affiliations +

Optical Engineering, Vol. 48, Issue 4, 047202 (April 2009). https://doi.org/10.1117/1.3114606

Abstract

Recently, fake fingerprints have become a serious concern for the use of fingerprint recognition systems. We introduce a novel fake-fingerprint detection method that uses multiple static features. With regard to the usability of the method for field applications, we employ static features extracted from one image to determine the aliveness of fingerprints. We consider the power spectrum, histogram, directional contrast, ridge thickness, and ridge signal of each fingerprint image as representative static features. Each feature is analyzed with respect to the physiological and statistical distinctiveness of live and fake fingerprints. These features form a feature vector set and are fused at the feature level through a support vector machine classifier. For performance evaluation and comparison, a total of 7200 live images and 9000 fake images were collected using four sensors (three optical and one capacitive). Experimental results showed that proposed method achieved approximately 1.6% equal-error rate with optical-based sensors. In the case of the capacitive sensor, there was no test error when only one image was used for a decision. Based on these results, we conclude that the proposed method is a simple yet promising fake-fingerprint inspection technique in practice.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Heeseung Choi, Raechoong Kang, Kyoungtaek Choi, Andrew Teoh Beng Jin, and Jai Hie Kim "Fake-fingerprint detection using multiple static features," Optical Engineering 48(4), 047202 (1 April 2009). https://doi.org/10.1117/1.3114606

Published: 1 April 2009

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available