DocumentCode
2175263
Title
On-line signature verification: discrimination emphasised
Author
Martens, Ronny ; Claesen, Luc
Author_Institution
IMEC, Leuven, Belgium
Volume
2
fYear
1997
fDate
18-20 Aug 1997
Firstpage
657
Abstract
The paper presents an online signature verification system, based on 3D force patterns and pen inclination angles, as recorded during signing. The feature extraction mechanism is based on the well known elastic matching technique. In contradiction to previous work in the same area however, we emphasise the importance of the final step in the process: the discrimination based on the extracted features. We show that by choosing the right discrimination approach we are able to improve the quality of the entire verification process drastically. The techniques we compare for discrimination, however, are not specific to signature verification, but should be considered carefully in every process where a classification decision is made from a set of parameters
Keywords
feature extraction; handwriting recognition; image classification; optical character recognition; statistical analysis; 3D force patterns; classification decision; discrimination approach; elastic matching technique; feature extraction mechanism; online signature verification system; pen inclination angles; verification process; Acceleration; Artificial neural networks; Bandwidth; Biometrics; Feature extraction; Handwriting recognition; Low pass filters; Neural networks; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location
Ulm
Print_ISBN
0-8186-7898-4
Type
conf
DOI
10.1109/ICDAR.1997.620588
Filename
620588
Link To Document