Off-line signature recognition using parameterized Hough transform

Author

Kaewkongka, Tonphong ; Chamnongthai, Kosin ; Thipakorn, B.

Author_Institution

Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

Volume

1

fYear

1999

fDate

1999

Firstpage

451

Abstract

This article describes a method of an off-line signature recognition by using the Hough transform to detect stroke lines from the signature image. The Hough transform is used to extract the parameterized Hough space from the signature skeleton as a unique characteristic feature of signatures. In the experiment, the backpropagation neural network is used as a tool to evaluate the performance of the proposed method. The system has been tested with 70 test signatures from different persons. The experimental results reveal a recognition rate 95.24%

Keywords

Hough transforms; backpropagation; feature extraction; handwritten character recognition; image recognition; image representation; neural net architecture; neural nets; backpropagation neural network; experimental results; feature extraction; feature representation; neural network architecture; off-line signature recognition; parameterized Hough space; parameterized Hough transform; performance evaluation; recognition rate; signature image; signature skeleton; stroke lines detection; test signatures; Deformable models; Feature extraction; Forgery; Handwriting recognition; Image recognition; Multi-layer neural network; Neural networks; Skeleton; Space technology; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.818209

Filename

818209