Paper Info
Title
A novel video-based system for in-air signature verification.
Abstract
Develop a novel video-base in-air signature verification mode.Propose an improved DTW algorithm based on the characteristic of in-air signature.Demonstrate the validity of FFT algorithm in the verification of continuous track signature.Design a DTW-FFT fusion algorithm based on Gaussian probability distribution. At present, the common online signature verification systems adopt the contacted model of signing on a tablet or a phone screen, which have a great dependence on the device. Considering that the development of biometrics tends to the long distance and non-contact mode, a novel video-based system for in-air signature verification is proposed. First, the fingertip tracking is used for generating unique signature trajectory from the in-air signing videos. In combination of contrapuntally improved dynamic time warping (DTW) method, the Fast Fourier Transform (FFT) and the analysis on the signature length, a Gaussian distribution-based fusion algorithm is proposed for in-air signature verification. Finally, comprehensive experiments are conducted on a self-built database consisting of 560 signatures, then a false rejection rate (FRR) of 2.86% and a false acceptance rate (FAR) of 1.90% are achieved with an average matching time of only 24ms, which have demonstrated the effectiveness of our proposed system. Display Omitted
Year
DOI
Venue
2017
10.1016/j.compeleceng.2016.11.010
Computers & Electrical Engineering
Keywords
Field
DocType
In-air signature,Signature verification,Video-based tracking,Dynamic time warping,Fast Fourier Transform
Online signature,Signature recognition,Dynamic time warping,Computer science,Real-time computing,Gaussian,Fast Fourier transform,Acceptance rate,Biometrics,Trajectory
Journal
Volume
Issue
ISSN
57
C
0045-7906
Citations 
PageRank 
References 
5
0.42
19
Authors
4
Name
Order
Citations
PageRank
Yuxun Fang1252.74
Wenxiong Kang210217.58
Qiuxia Wu31039.25
Lei Tang4132.20