A spoof detection method for contactless fingerprint collection utilizing spectrum and polarization diversity

Gil Abramovich; Meena Ganesh; Kevin Harding; Swaminathan Manickam; Joseph Czechowski; Xinghua Wang; Arun Vemury

doi:10.1117/12.851375

27 April 2010 A spoof detection method for contactless fingerprint collection utilizing spectrum and polarization diversity

Gil Abramovich, Meena Ganesh, Kevin Harding, Swaminathan Manickam, Joseph Czechowski, Xinghua Wang, Arun Vemury

Author Affiliations +

Proceedings Volume 7680, Next-Generation Spectroscopic Technologies III; 768005 (2010) https://doi.org/10.1117/12.851375
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The paper presents a spoof detection technique employing multi-spectral and multi-polarization imaging for a contactless fingerprint-capture system. While multispectral imaging has been proven to enable spoof detection for contact fingerprint imagers, these imagers typically rely on frustrated total internal reflection that requires a planar fingerprint, achieved by contact. The multispectral imaging method is based primarily on the difference in the spectral absorption profile between a real finger and a fake one. This paper will describe the expansion of this capability using blue and red light with contactless imaging in conjunction with polarization. This new method uses images at various rotated linear polarizations (each image representing a different value of specular and diffuse components), which are used to create the feature vectors representing the spectral and polarization diversity. The software extracts complex wavelet transforms (CWT) and FFT features from the images and builds a supervised learning method to train Support Vector Machine (SVM) classifiers. Experimental data was collected from a diversity of human fingers and silicon based phantoms molded from the corresponding humans. Fake and actual fingerprints were collected using individuals with a large diversity in skin tone, age, and finger dimensions. Our initial results, with an accuracy rate of at least 83%, are promising and imply that using the polarization diversity can enhance the spoof detection performance.

Citation Download Citation

Gil Abramovich, Meena Ganesh, Kevin Harding, Swaminathan Manickam, Joseph Czechowski, Xinghua Wang, and Arun Vemury "A spoof detection method for contactless fingerprint collection utilizing spectrum and polarization diversity", Proc. SPIE 7680, Next-Generation Spectroscopic Technologies III, 768005 (27 April 2010); https://doi.org/10.1117/12.851375

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