Fuzzy modeling based signature verification system

Author

Hanmandlu, M. ; Mohan, K. R Murali ; Chakraborty, Sourav ; Garg, Gaurav

Author_Institution

Dept. of Comput. Eng., Multimedia Univ., Selongor, Malaysia

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

110

Lastpage

114

Abstract

Presents an approach for the verification of a signature using fuzzy modeling. For feature extraction, a signature is enclosed in a box. Taking the left side bottom corner of the box as the origin, angles of all pixels are calculated and then distributions of angles are generated using fixed class intervals. By considering these distributions as fuzzy sets, a Takagi-Sugeno model is constructed by defining the output of the signature to be a fixed number. This model is then used for the twin-purpose of verification and forgery detection. The results are demonstrated on several signature samples

Keywords

fuzzy logic; fuzzy set theory; handwriting recognition; handwritten character recognition; Takagi-Sugeno model; feature extraction; forgery detection; fuzzy modeling based signature verification system; fuzzy sets; Banking; Computer science; Data mining; Educational institutions; Feature extraction; Forgery; Fuzzy systems; Handwriting recognition; Law enforcement; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7695-1263-1

Type

conf

DOI

10.1109/ICDAR.2001.953765

Filename

953765