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
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;
Journal_Title :
Human-Machine Systems, IEEE Transactions on
DOI :
10.1109/THMS.2013.2279008