Selection of features for signature verification using the genetic algorithm

Computers and Industrial Engineering

Volumn 30, Issue 4, 1996, Pages 1037-1045

  Xuhua, Yang ^a   Furuhashi, Takeshi ^a   Obata, Kenzo ^b   Uchikawa, Yoshika ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b DENSO CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; FEATURE EXTRACTION; FUZZY SETS; PROBLEM SOLVING;

FEATURE SELECTION; HANDWRITTEN SIGNATURES; SIGNATURE VERIFICATION;

GENETIC ALGORITHMS;

EID: 0030243346     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/0360-8352(96)00051-4     Document Type: Article

References (6)

1. R. Plamondon and G. Lorette. Automatic signature verification and writer identification - the state of the art. Patt. Recogn. 2, 107-131 (1989).
2. H. Crane and J. S. Osterm. Automatic signature verification using a three-axis force-sensitive pen. IEEE Trans. System, Man, Cybernetics, pp. 329-337 (1983).
3. Y. Qi and B. R. Hunt. Signature verification using global and grid features. Patt. Recogn. (1994).
4. S. Watanabe, T. Furuhashi, K. Obata and Y. Uchikawa. An off-line signature recognition using a fuzzy net. T.IEE Japan 114-D, 674-679 (1994).
5. D. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, MA (1989).
6. T. Furuhashi, K. Nakaoka and Y. Uchikawa. A new approach to genetic based machine learning and on efficient finding of fuzzy rules. Proc. of IEEE/Nagoya Univ. World Wisemen/Woman Workshop (WWW'94), pp. 114-122 (1994).