Title :
On-line signature verification using a nonstationary autoregressive model representation
Author :
Mohankrishnan, N. ; Paulik, Mark J. ; Khalil, Mohamad
Author_Institution :
Dept. of Electr. Eng., Univ. of Detroit Mercy, Detroit, MI, USA
Abstract :
A method of signature authentication has been developed based on an autoregressive (AR) model representation. A signature is considered to be a shape that is short-time stationary but undergoes gradual or abrupt changes as the signature is traced from start to finish. Based on this premise the signature is divided into a number of segments, each of which is represented by a 2nd order AR model. With this representation, verification tests conducted on a database of almost 1000 signatures yielded excellent results with error rates of about 8%
Keywords :
autoregressive processes; handwriting recognition; pattern classification; error rates; nonstationary autoregressive model; segments; short-time stationary; signature authentication; verification tests; Authentication; Credit cards; Databases; Error analysis; Handwriting recognition; Security; Shape; Speech coding; Speech synthesis; Testing;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.394223
