DocumentCode
183224
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
fYear
2014
fDate
1-4 Sept. 2014
Firstpage
67
Lastpage
72
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location
Heraklion
ISSN
2167-6445
Print_ISBN
978-1-4799-4335-7
Type
conf
DOI
10.1109/ICFHR.2014.19
Filename
6980998
Link To Document