Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/107484
Title: Off-line Signature Verification Using Multidirectional Run-Length Features
Authors: Bouamra, Walid 
Díaz Cabrera, Moisés 
Ferrer Ballester, Miguel Ángel 
Nini, Brahim
UNESCO Clasification: 2405 Biometría
Keywords: Handcrafted features
Multidirectional run-length features
Off-line signature verification
Issue Date: 2020
Publisher: Association for Computing Machinery
Journal: ACM International Conference Proceedings Series
Conference: 10th International Conference on Information Systems and Technologies, (ICIST 2020) 
Abstract: Run-length features have shown its effectivity in off-line signature verification. Configurations of these handcrafted features include four direction-based features. In this paper, we propose to add further spatial information of the signature to the standard run-length features. Such information is worked out in two stages: firstly, beyond classical four directions, more directions are studied. Secondly, improving the knowledge of each direction by combining the information of the neighbor directions. This new configuration has been used in two classifiers, one based on Euclidean distance and another based on a one-class support vector machine. We outperformed previous performances with the proposed configuration regarding the last ICFHR 2018 competition on Thai student signatures and GPDS-960 signature database.
URI: http://hdl.handle.net/10553/107484
ISBN: 978-1-4503-7655-6
DOI: 10.1145/3447568.3448551
Source: ICIST '20: Proceedings of the 10th International Conference on Information Systems and Technologies, Lecce (Italy), 4-5 June, 2020, Article No. 43
Appears in Collections:Actas de congresos
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