DocumentCode :
111407
Title :
Verification of Static Signatures by Optical Flow Analysis
Author :
Pirlo, G. ; Impedovo, D.
Author_Institution :
Dipt. di Inf., Univ. degli Studi di Bari, Bari, Italy
Volume :
43
Issue :
5
fYear :
2013
fDate :
Sept. 2013
Firstpage :
499
Lastpage :
505
Abstract :
A new approach for static signature verification is presented in this paper. The approach uses optical flow to estimate local stability among signatures. In the enrollment stage, optical flow is used to define a stability model of the genuine signatures for each signer. In the verification stage, the stability between the unknown signature and each one of the reference signatures is estimated and consistency with the stability model of the signer is evaluated. The experimental results, carried out on the signatures in the GPDS database, demonstrate the effectiveness of the new approach.
Keywords :
handwriting recognition; image sequences; GPDS database; enrollment stage; genuine signatures; local stability; optical flow analysis; reference signatures; static signature verification; Handwriting recognition; Optical communication; Optical distortion; Optical imaging; Stability analysis; Verification; Alternating decision tree; biometrics; optical flow; signature verification; static signature;
fLanguage :
English
Journal_Title :
Human-Machine Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2291
Type :
jour
DOI :
10.1109/THMS.2013.2279008
Filename :
6589161
Link To Document :
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