Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach

International Journal on Document Analysis and Recognition

Volumn 13, Issue 1, 2010, Pages 33-47

  Batista, Luana ^a   Granger, Eric ^a   Sabourin, Robert ^a  

^a Laboratoire d'Imagerie de Vision et d'Intelligence Artificielle (LIVIA)   (Canada)

Author keywords

Codebook selection; Hidden Markov Models; Off line signature verification; Pattern recognition; ROC curves

Indexed keywords

ACCURATE ESTIMATION; AVERAGE ERRORS; CODEBOOK SELECTION; CODEBOOKS; DISCRETE HIDDEN MARKOV MODEL; ERROR RATE; IMPROVING PERFORMANCE; INPUT SAMPLE; NUMBER OF STATE; OFF-LINE SIGNATURE VERIFICATION; OPERATING POINTS; REAL-WORLD; ROC CURVES; SKILLED FORGERY; STATISTICAL CLASSIFIER; SUITABLE SOLUTIONS; TRAINING DATA;

PATTERN RECOGNITION;

HIDDEN MARKOV MODELS;

EID: 77949424932     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-009-0101-0     Document Type: Article

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