• DocumentCode
    595034
  • Title

    Print biometrics: Recovering forensic signatures from halftone images

  • Author

    Pollard, Stephen ; Simske, S. ; Adams, George

  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    1651
  • Lastpage
    1654
  • Abstract
    High-resolution imaging is useful for the forensic identification of unique printed regions. In this paper, we adapt an iris biometric approach to provide significant statistical discrimination between any two imaged halftone areas. The method is based on image registration followed by 2D Gabor wavelet encoding. Hamming Distances (HD) are used for matching. The z-scores for the comparison of like and unlike samples indicate improved identification statistics compared to both iris biometrics and previous methods of print authentication.
  • Keywords
    Gabor filters; Hamming codes; digital forensics; image coding; image matching; image resolution; iris recognition; statistical analysis; wavelet transforms; 2D Gabor wavelet encoding; HD; Hamming distances; forensic identification; forensic signatures; halftone area imaging; halftone images; high-resolution imaging; identification statistics; image registration; iris biometric approach; print biometrics; statistical discrimination; unique printed regions; z-scores; Authentication; Forensics; Gabor filters; High definition video; Image resolution; Iris recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460464