Issues pertaining to optimal performance of an on-line autoregressive model based signature verification system

Author

Mohankrishnan, N. ; Paulik, Mark J. ; Khalil, Mohamad

Author_Institution

Dept. of Electr. Eng., Detroit Univ., MI, USA

fYear

1993

fDate

16-18 Aug 1993

Firstpage

677

Abstract

The factors determining the optimality of a technique for signature authentication have been examined. These are: procedures for validation and preprocessing of the data, selection of the parameters of the model, and application of higher level decision strategies to enhance performance. The best results were obtained using a sequential strategy requiring the test signature to be repeated a maximum of two times in the event of a defined uncertainty. The false acceptance and false rejection error rates averaged about 0% and 4% respectively using a database of 1600 signatures

Keywords

data handling; decision theory; formal verification; handwriting recognition; false acceptance; false rejection error rates; higher level decision strategies; online autoregressive model; optimal performance; optimality; preprocessing; sequential strategy; signature authentication; signature verification; test signature; validation; Authentication; Data security; Databases; Error analysis; Fatigue; Handwriting recognition; Muscles; Sequential analysis; System performance; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.342956

Filename

342956