High-resolution printed amino acid traces: a first-feature extraction approach for fingerprint forgery detection

9 February 2012 High-resolution printed amino acid traces: a first-feature extraction approach for fingerprint forgery detection

Mario Hildebrandt, Stefan Kiltz, Jennifer Sturm, Jana Dittmann, Claus Vielhauer

Author Affiliations +

Proceedings Volume 8303, Media Watermarking, Security, and Forensics 2012; 83030J (2012) https://doi.org/10.1117/12.909072
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

Fingerprints are used for the identification of individuals for over a century in crime scene forensics. Here, often physical or chemical preprocessing techniques are used to render a latent fingerprint visible. For quality assurance purposes of those development techniques, Schwarz1 introduces a technique for the reproducible generation of latent fingerprints using ink-jet printers and artificial amino acid sweat. However, this technique allows for printing latent fingerprints at crime scenes to leave false traces, too. Hence, Kiltz et al.2 introduce a first framework for the detection of printed fingerprints. However, the utilized printers have a maximum resolution of 2400×1200 dpi. In this paper, we use a Canon PIXMA iP46003 printer with a much higher resolution of 9600×400 dpi, which does not produce the kind of visible dot patterns reported in Kiltz et al.2 We show that an acquisition with a resolution of 12700 to 25400 ppi is necessary to extract microstuctures, which perspectively allows for an automated detection of printed fingerprint traces fabricated with high-resolution printers. Using our first test set with 20 printed and 20 real, natural fingerprint patterns from the human the evaluation results indicate a very positive tendency towards the detectability of such traces using the method proposed in this paper.

Citation Download Citation

Mario Hildebrandt, Stefan Kiltz, Jennifer Sturm, Jana Dittmann, and Claus Vielhauer "High-resolution printed amino acid traces: a first-feature extraction approach for fingerprint forgery detection", Proc. SPIE 8303, Media Watermarking, Security, and Forensics 2012, 83030J (9 February 2012); https://doi.org/10.1117/12.909072

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