The New Method of Signature Recognition Based on Least Squares Contour Alignment

Author

Wrobel, Krzysztof ; Doroz, Rafal

Author_Institution

Inst. of Comput. Sci., Univ. of Silesia, Sosnowiec, Poland

fYear

2009

fDate

25-28 June 2009

Firstpage

80

Lastpage

83

Abstract

The paper presents a new method of signature recognition based on least squares contour alignment. During the study six features of signatures were examined, such as: X, Y, P, Vx, Vy, Vp. On the basis of the analyzed features of each signature two-dimensional graphs were created. Values of successive elements of any features of a signature, were taken as coordinates of points on the chart. Then, the chart created in such a way was treated as a contour and compared each other. In the study, usefulness of individual features was also evaluated.

Keywords

biometrics (access control); graph theory; handwriting recognition; least squares approximations; least squares contour alignment; signature features; signature recognition; signature two-dimensional graphs; Authentication; Banking; Biometrics; Computer science; Data security; Humans; Information security; Least squares methods; Shape measurement; Testing; Signature recognition; dynamic feature; least square contour alignment;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics and Kansei Engineering, 2009. ICBAKE 2009. International Conference on

Conference_Location

Cieszyn

Print_ISBN

978-0-7695-3692-7

Electronic_ISBN

978-0-7695-3692-7

Type

conf

DOI

10.1109/ICBAKE.2009.16

Filename

5223256