Liveness Detection in Fingerprint Recognition Systems
Independent thesis Basic level (professional degree)Student thesisAlternative title
Detektering av Artificiella Fingeravtryck vid Användarautentisering (Swedish)
Biometrics deals with identifying individuals with help of their biological data. Fingerprint scanning is the most common method of the biometric methods available today. The security of fingerprint scanners has however been questioned and previous studies have shown that fingerprint scanners can be fooled with artificial fingerprints, i.e. copies of real fingerprints. The fingerprint recognition systems are evolving and this study will discuss the situation of today.
Two approaches have been used to find out how good fingerprint recognition systems are in distinguishing between live fingers and artificial clones. The first approach is a literature study, while the second consists of experiments.
A literature study of liveness detection in fingerprint recognition systems has been performed. A description of different liveness detection methods is presented and discussed. Methods requiring extra hardware use temperature, pulse, blood pressure, electric resistance, etc., and methods using already existent information in the system use skin deformation, pores, perspiration, etc.
The experiments focus on making artificial fingerprints in gelatin from a latent fingerprint. Nine different systems were tested at the CeBIT trade fair in Germany and all were deceived. Three other different systems were put up against more extensive tests with three different subjects. All systems werecircumvented with all subjects'artificial fingerprints, but with varying results. The results are analyzed and discussed, partly with help of the A/R value defined in this report.
Place, publisher, year, edition, pages
Institutionen för systemteknik , 2004. , 128 p.
Informationsteknik, biometrics, identification, verification, fingerprints, fingerprint scanners, sensor attacks, artificial fingerprints, liveness detection
Computer and Information Science
IdentifiersURN: urn:nbn:se:liu:diva-2397OAI: oai:DiVA.org:liu-2397DiVA: diva2:19729