Title :
On-Line Signature Verification by Multi-domain Classification
Author :
Pirlo, G. ; Cuccovillo, V. ; Impedovo, D. ; Mignone, P.
Author_Institution :
Dipt. di Inf., Univ. degli Studi di Bari, Bari, Italy
Abstract :
In this paper a new on-line signature verification technique is proposed. Differently from previous works, this approach classifies a signature using a multi-domain strategy. In particular, based on the stability model of each signer, the signature is split into different segments and for each segment the most profitable domain of representation for verification purpose is detected. In the verification stage, Dynamic Time Warping (DTW) is used to evaluate the genuinity of each segment of the unknown signature, using the specific domain of representation. The experimental results, carried out on signatures of the SUSIG database, demonstrate the effectiveness of the proposed approach when compared to other approaches in literature.
Keywords :
handwriting recognition; image classification; image segmentation; DTW; SUSIG database; dynamic time warping; multidomain classification; online signature verification technique; signature classification; signature segment genuinity; signer stability model; Acceleration; Feature extraction; Handwriting recognition; Prototypes; Stability criteria; Tin;
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location :
Heraklion
Print_ISBN :
978-1-4799-4335-7
DOI :
10.1109/ICFHR.2014.19