DocumentCode :
3761563
Title :
Online signature verification using hybrid features
Author :
Madiha Tahir;M. Usman Akram
Author_Institution :
Computer Engineering, National University of Science and Technology, Rawalpindi, Pakistan
fYear :
2015
Firstpage :
11
Lastpage :
16
Abstract :
Biometrics is the process by which a person´s physical, behavioral and psychological traits are identified and recorded by an electronic device of identity.Online handwritten signature verification is a biometric based security system. Most of the previous work is based on statistics of online signatures, local and global features. We proposed to test hybrid features on Japanese online dataset from ICDAR2013 [38].We extract features in frequency domain and time domain as well by using combination of global, Fourier transform and wavelet transform based features. Accuracy is calculated to compare the efficiency of proposed method. It shows that combination of global, DWT and FFT based features yields better results than other combinations. The accuracy achieved by our system is 73.49% which is better than previous systems evaluated on Japanese online dataset.
Keywords :
"Feature extraction","Forgery","Discrete wavelet transforms","Fourier transforms","Training","Biometrics (access control)"
Publisher :
ieee
Conference_Titel :
Information Security and Cyber Forensics (InfoSec), 2015 Second International Conference on
Type :
conf
DOI :
10.1109/InfoSec.2015.7435499
Filename :
7435499
Link To Document :
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