DocumentCode :
3106170
Title :
On-Line Signature Recognition Based on an Analysis of Dynamic Feature
Author :
Palys, Malgorzata ; Doroz, Rafal ; Porwik, Piotr
Author_Institution :
Inst. of Comput. Sci., Univ. of Silesia, Sosnowiec, Poland
fYear :
2013
fDate :
5-7 July 2013
Firstpage :
103
Lastpage :
108
Abstract :
The paper presents a new method of signature recognition. The method consists in the division of a set containing all the points of a signature into subsets. Signature points are assigned to a given subset on the basis of an analysis of dynamic feature values registered in these points. The similarity of signatures is evaluated by determining the similarity between corresponding subsets in the signatures being compared. In the study, usefulness of individual features was also evaluated.
Keywords :
feature extraction; handwriting recognition; image matching; dynamic feature analysis; online signature recognition; signature points; signature similarity; Authentication; Biometrics (access control); Computer science; Heuristic algorithms; Safety; Writing; biometric; dynamic features; signature recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics and Kansei Engineering (ICBAKE), 2013 International Conference on
Conference_Location :
Tokyo
Type :
conf
DOI :
10.1109/ICBAKE.2013.20
Filename :
6603482
Link To Document :
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