Do biometric images follow Benford's law?

Aamo Iorliam, Anthony T.S. Ho, Norman Poh, Yun-Qing Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Tampering of biometric samples is becoming an important security concern. Tampering can take place at the sensor level (spoofing), and through the backend, e.g., replacing the template with another sample. One example of backend attack is manipulating the original biometric image, i.e. contaminating the template. We study one particular aspect of tampering: image manipulation. In the forensics literature, Benford's law has been reported to be very effective in detecting tampering of natural images. In this paper, our motivation is to examine whether biometric images will follow the Benford's law and whether or not they can be used to detect potential malicious tampering of biometric images. We find that, the biometric samples do indeed follow the Benford's law; and the method can detect tampering effectively, with Equal Error Rate (EER) of 0.55% for single compressed face images, 2.7% for single compressed fingerprint images, 4.3% for double compressed face images and 3.7% for double compressed fingerprint images.

Original languageEnglish (US)
Title of host publication2nd International Workshop on Biometrics and Forensics, IWBF 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479943708
DOIs
StatePublished - Sep 30 2014
Event2nd International Workshop on Biometrics and Forensics, IWBF 2014 - Valletta, Malta
Duration: Mar 27 2014Mar 28 2014

Publication series

Name2nd International Workshop on Biometrics and Forensics, IWBF 2014

Other

Other2nd International Workshop on Biometrics and Forensics, IWBF 2014
CountryMalta
CityValletta
Period3/27/143/28/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Biotechnology

Keywords

  • Benford's law
  • forensic biometrics

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