Two dimensional AR model of signing process and its application to on-line signature verification

Author

Matsuura, Takenobu ; Togiishi, Hirokazu

Author_Institution

Dept. of Commun. Eng., Tokai Univ., Kanagawa, Japan

Volume

2

fYear

1998

fDate

1998

Firstpage

545

Abstract

This paper discusses an on-line signature verification method based on angular direction and its magnitude of pen-point movement in signing process. The locus of pen-point movement is approximated by a finite number of line segments. The variations of the magnitude and its argument of the line segment are represented by two dimensional autoregressive (AR) model. Then the feature of signing process is extracted from the discrete cosine transform (DCT) of spectrum of the two dimensional AR model characterizing the pen-point movement. Signature verification experiments on a database of four hundred Kanji signatures from four individuals are attempted. Type I (false rejection) error rates were 0-15% while type II (false acceptance) error rates were 0-10%

Keywords

autoregressive processes; discrete cosine transforms; feature extraction; handwriting recognition; 2D AR model; DCT; Kanji signatures; angular direction; autoregressive model; discrete cosine transform; line segments; online signature verification; pen-point movement; signing process; two-dimensional AR model; written pattern; Access control; Credit cards; Data mining; Data preprocessing; Discrete cosine transforms; Equations; Error analysis; Handwriting recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 1998 IEEE International Conference on

Conference_Location

Lisboa

Print_ISBN

0-7803-5008-1

Type

conf

DOI

10.1109/ICECS.1998.814941

Filename

814941