DocumentCode
789121
Title
A multiresolution approach to computer verification of handwritten signatures
Author
Qi, Yingyong ; Hunt, Bobby R.
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Volume
4
Issue
6
fYear
1995
fDate
6/1/1995 12:00:00 AM
Firstpage
870
Lastpage
874
Abstract
We took a multi-resolution approach to the signature verification problem. The top-level representation of signatures was the global geometric features. A multi-resolution representation of signatures was obtained using the wavelet transformation. We built VQ and network classifiers to demonstrate the advantages of the multi-resolution approach. High verification rates were achieved based on a limited database
Keywords
handwriting recognition; image representation; image resolution; neural nets; pattern classification; vector quantisation; wavelet transforms; VQ classifier; computer verification; global geometric features; handwritten signatures; limited database; multiresolution approach; neural network classifier; top-level representation; wavelet transformation; Buildings; Decision making; Forgery; Handwriting recognition; Humans; Image databases; Multiresolution analysis; Shape; Spatial databases; Vector quantization;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.388092
Filename
388092
Link To Document