DocumentCode
2613178
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
fYear
1993
fDate
3-6 May 1993
Firstpage
2303
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.394223
Filename
394223
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