Off-line Signature Stability by Optical Flow: Feasibility Study of Predicting the Verifier Performance

被引：0

作者：

Diaz, Moises ^{[1
]}

Ferrer, Miguel A. ^{[1
]}

Pirlo, Giuseppe ^{[2
]}

Giannico, Giuliano ^{[2
]}

Henriquez, Patricia ^{[1
]}

Impedovo, Donato ^{[3
]}

机构：

[1] IDETIC Univ Las Palmas de Gran Canaria, Campus Tafira S-N, E-35017 Las Palmas Gran Canaria, Spain

[2] Univ Bari Aldo Moro, Dipartimento Informat, I-70125 Bari, Italy

[3] DyrectaLab, Milan, Italy

来源：

49TH ANNUAL IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST) | 2015年

关键词：

VERIFICATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Prediction of performance in Off-line Automatic Signature Verification (ASV) per signer is one of the important topics regarding to automatic verification. It could be hypothesized that the performance of a signer is related to its global stability. This way, the more stable the signer signatures, the smaller the area of its feature space is, being more difficult to get inside for an impostor. In this paper we assess the feasibility to predict the performance of a signer through his/her global stability. As in a real scenario, only the enrolled signatures are used to calculate the stability of the signer. Similarly, only these signatures are used to train two completely different off-line ASVs. Then, the performance and the stability per signer are compared. Our results suggest that there is a certain relationship between the global stability of the enrolled signatures and the performance in terms of Equal Error Rate.

引用

页码：341 / 345

页数：5

共 12 条

[1]

Alonso-Fernandez F, 2007, IEEE IMAGE PROC, P369

[2]

ALONSOFERNANDEZ F, 2007, BIOMETRICS THEORY AP, P1, DOI DOI 10.1109/BCC.2007.4430548

[3]

[Anonymous], 1998, INPROC INT C SPOKEN

[4]

Blumenstein M., 2010, Proceedings 2010 12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010), P721, DOI 10.1109/ICFHR.2010.117

[5]

Diaz-Cabrera Moises, 2014, Advances in Digital Handwritten Signature Processing: A Human Artefact for e-Society, P111

[6] Modeling the Lexical Morphology of Western Handwritten Signatures [J].