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
Link To Document