Verification of handwritten signature images by multiresolution wavelet analysis

Author

Qi, Yingyong ; Hunt, Bobby R.

Author_Institution

Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

6

Abstract

We took a multi-resolution approach to the signature verification problem. The top-level representation of signature images was the global geometric features including the size and slant angle. A multiresolution representation of signature images was obtained using the wavelet transformation. We evaluated the feature representation at different scales and developed schemes to use this multi-resolution representation for signature verification. We built a vector quantization classifier and a neural network classifier to demonstrate the advantages of using the multiresolution approach. Reasonably high verification rates were obtained

Keywords

handwriting recognition; image classification; image representation; image resolution; neural nets; vector quantisation; wavelet transforms; feature representation; global geometric features; handwritten signature images; multiresolution wavelet analysis; neural network classifier; signature verification; size; slant angle; top-level representation; vector quantization classifier; verification rates; wavelet transformation; Data acquisition; Forgery; Fourier transforms; Handwriting recognition; Image analysis; Image resolution; Multiresolution analysis; Neural networks; Quantization; Vector quantization; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342458

Filename

342458