Validity and acceptability of results in fingerprint scanners

  • Authors:
  • Majid Meghdadi;Saeed Jalilzadeh

  • Affiliations:
  • Computer and Electrical Departments, Zanjan University, Iran;Computer and Electrical Departments, Zanjan University, Iran

  • Venue:
  • MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
  • Year:
  • 2005

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Abstract

Fingerprinting has been a traditional way to find and verify the identity of known criminals and terrorists that are wanted and have evaded the law. Fingerprinting can produce a match with an error rating of (+/-).001. The security of fingerprint scanners has however been questioned and previous studies have been shown that fingerprint scanners can be fooled with artificial fingerprints, i.e. copies of real fingerprints. The fingerprint systems are evolving and this paper will discuss the situation of today. Two different approaches to the fingerprint scanner area will be covered in this paper. The theoretical approach will discuss live ness detection, i.e. the fingerprint scanners' ability to distinguish between live fingers and artificial clones. Different live ness detection methods will be presented and analyzed with regards to attacks with artificial fingerprints. The empirical approach consists of examining the fingerprint scanners' ability to withstand an attack of an artificial fingerprint using techniques based on earlier researches. The experiments focus on making artificial fingerprints in gelatin from a latent fingerprint. Nine different systems were tested at the Zanjan University and all were deceived. Three other different systems were put up against more extensive tests with three different subjects. All systems were circumvented with all subjects' artificial fingerprints, but with varying results. The results are analyzed and discussed in this paper. The uses of biometric systems are growing every day. Biometrics deals with identifying individuals with help of their biological data.