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 :
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