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
fDate :
6/1/1995 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
