Off-line skilled forgery detection using stroke and sub-stroke properties

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 2, 2000, Pages 355-358

  Guo, Jinhong K ^a   Doermann, David ^b   Rosenfeld, Azriel ^b  

^a Panasonic Corporation of North America   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS;

FORGERY DETECTIONS; SKILLED FORGERY; WRITER DEPENDENT;

PATTERN RECOGNITION;

EID: 10044284739     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

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3. R. Plamondon and G. Lorette. Automatic signature verification and writer identification - State of the art. Pattern Recognition, 22:107-131, 1989.
4. J. Guo, D. Doermann, and A. Rosenfeld. Local correspondence for detecting random forgeries. In Proceedings, International Conference on Document Analysis and Recognition, pages 319-323, 1997.
5. M. Ammar, Y. Yoshida, and T. Fukumura, A new effective approach for off-line verification of signatures by using pressure features. In Proceedings, International Conference on Pattern Recognition, pages 566-569, 1986.
6. M. Ammar. Progress in verification of skillfully simulated handwritten signatures. International Journal of Pattern Recognition and Artificial Intelligence, 5:337-351, 1991.