Automatic detection of handwriting forgery using a fractal number estimate of wrinkliness

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 18, Issue 7, 2004, Pages 1361-1371

  Cha, Sung Hyuk ^a   Tappert, Charles C ^a   Gibbons, Michael ^a   Chee, Yi Min ^b  

^a PACE UNIVERSITY   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Forgery detection; Fractal; Handwriting analysis; Wrinkliness

Indexed keywords

AUTOMATION; COMPUTATIONAL METHODS; DATA ACQUISITION; DATA REDUCTION; IMAGE ANALYSIS; INFORMATION ANALYSIS; NEURAL NETWORKS; PROFESSIONAL ASPECTS;

FORGERY DETECTION; FRACTAL; HANDWRITING ANALYSIS; WRINKLINESS;

PATTERN RECOGNITION;

EID: 10444228859     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001404003642     Document Type: Conference Paper

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