Dynamic features extraction for on-line signature verification

Author

Rioja, Flor Ramírez ; Miyatake, Mariko Nakano ; Perez Meana, Hector ; Toscano, K.

Author_Institution

IPN Seccion de Estudios y Postgrado e Investigacion, Escuela Superior de Ingenieria Mecanica y Electrica Unidad Culhuacan, Mexico City, Mexico

fYear

2004

fDate

16-18 Feb. 2004

Firstpage

156

Lastpage

161

Abstract

The interest in developing a robust on-line signature verification system has greatly increased. Three kinds of forgeries, random forgery, simple forgery and expert forgery, must be considered. Dynamic features extraction for an on-line signature verification system is presented. The dynamic features are extracted from authentic and forged signatures with relatively low computational cost. All kind of forgeries, included expert forgeries, are considered for detection as forged signatures. Computer simulation results show a desirable performance of the proposed system.

Keywords

feature extraction; handwriting recognition; authentic signatures; computational cost; dynamic features extraction; expert forgery; forged signatures; on-line signature verification; random forgery; simple forgery; Computational efficiency; Computer simulation; Data mining; Europe; Feature extraction; Forgery; Handwriting recognition; Robustness; Sampling methods; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Computers, 2004. CONIELECOMP 2004. 14th International Conference on

Print_ISBN

0-7695-2074-X

Type

conf

DOI

10.1109/ICECC.2004.1269565

Filename

1269565