Title :
Parameter reduction and personalized parameter selection for automatic signature verification
Author :
Bauer, Frédéric ; Wirtz, Brigitte
Author_Institution :
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
Abstract :
This paper presents a signature verification system based on 84 personally selected parameters. An initial set of 300 parameters is first reduced globally by statistical methods. A personalized parameter selection is performed on the reduced parameter set by use of several norms and a linear classifier. The personalized parameter sets of different signers justify that parameter selection should be personalized. Verification results for personalized parameters are given for different norms and compared to results achieved with a function-based system. A method for combining both approaches and the results achieved with this extended system are presented as well
Keywords :
authorisation; handwriting recognition; parameter estimation; pattern classification; security of data; statistical analysis; automatic signature verification; function-based system; linear classifier; parameter reduction; personalized parameter selection; reduced parameter set; statistical methods; Acceleration; Computer networks; Computer security; Data security; Finite impulse response filter; Handwriting recognition; High performance computing; Man machine systems; Research and development; Statistical analysis;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.598972