Application of hidden Markov models for signature verification

Pattern Recognition

Volumn 28, Issue 2, 1995, Pages 161-170

  Yang, L ^a   Widjaja, B K ^a   Prasad, R ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Backward probability; Baum Welch algorithm; Forward probability; HMMs; Signature verification

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; USER INTERFACES;

BACKWARD PROBABILITY; BAUM WELCH ALGORITHMS; FORWARD PROBABILITY; MULTIMEDIA; SIGNATURE VERIFICATION;

CHARACTER RECOGNITION;

EID: 0029246903     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(94)00092-Z     Document Type: Article

References (11)

1. Graphical correspondence in electronic-mail networks using personal computers
2. Automatic signature verification and writer identification-the state of the art
3. A comparative analysis of regional correlation, dynamic time warping, and skeletal tree matching for signature verification
4. Signature verification through spectral analysis
5. Dynamic handwritten Chinese signature verification
6. On-line handwritten signature recognition based on data analysis and clustering
7. On the application of vector quantization and hidden Markov models to speaker-independent isolated word recognition
8. Recognition of handwritten word: first and second order hidden Markov model based approach
9. Hidden Markov models applied to on-line handwritten isolated character recognition
10. On-line signature verification applying hidden Markov models
11. An introduction to the application of the theory of probabilistic Functions of a Markov process to automatic speech recognition