A signature complexity measure to select reference signatures for online signature verification

Christian Kahindo; Sonia Garcia-Salicetti; Nesma Houmani

doi:10.1109/BIOSIG.2015.7314595

A signature complexity measure to select reference signatures for online signature verification

Institut Pierre Simon Laplace, CNRS and CEA

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents an original procedure for selecting the reference online signature instances of a writer, an important issue for any effective signature verifier. To this end, for each signature instance, we propose a novel complexity measure, by exploiting a global description of signatures in the frequency domain as well as a global statistical modelling of each signature instance. To select the reference signatures, we propose a method based on the distribution of complexity values for all the available genuine signatures. The 2500 genuine samples of MCYT-100 online database are used in this study. Experimental results show the effectiveness of the method and of the here proposed complexity measure for this specific task.

Original language	English
Title of host publication	BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group
Editors	Arslan Bromme, Arslan Bromme, Christoph Busch, Christoph Busch, Christian Rathgeb, Christian Rathgeb, Andreas Uhl, Andreas Uhl
Publisher	Gesellschaft fur Informatik (GI)
ISBN (Electronic)	9783885796398, 9783885796398
DOIs	https://doi.org/10.1109/BIOSIG.2015.7314595
Publication status	Published - 30 Oct 2015
Externally published	Yes
Event	14th International Conference of the Biometrics Special Interest Group, BIOSIG 2015 - Darmstadt, Germany Duration: 9 Sept 2015 → 11 Sept 2015

Publication series

Name	Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Volume	P-245
ISSN (Print)	1617-5468
ISSN (Electronic)	2944-7682

Conference

Conference	14th International Conference of the Biometrics Special Interest Group, BIOSIG 2015
Country/Territory	Germany
City	Darmstadt
Period	9/09/15 → 11/09/15

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10.1109/BIOSIG.2015.7314595

Cite this

Kahindo, C., Garcia-Salicetti, S., & Houmani, N. (2015). A signature complexity measure to select reference signatures for online signature verification. In A. Bromme, A. Bromme, C. Busch, C. Busch, C. Rathgeb, C. Rathgeb, A. Uhl, & A. Uhl (Eds.), BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-245). Gesellschaft fur Informatik (GI). https://doi.org/10.1109/BIOSIG.2015.7314595

Kahindo, Christian ; Garcia-Salicetti, Sonia ; Houmani, Nesma. / A signature complexity measure to select reference signatures for online signature verification. BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group. editor / Arslan Bromme ; Arslan Bromme ; Christoph Busch ; Christoph Busch ; Christian Rathgeb ; Christian Rathgeb ; Andreas Uhl ; Andreas Uhl. Gesellschaft fur Informatik (GI), 2015. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

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title = "A signature complexity measure to select reference signatures for online signature verification",

abstract = "This paper presents an original procedure for selecting the reference online signature instances of a writer, an important issue for any effective signature verifier. To this end, for each signature instance, we propose a novel complexity measure, by exploiting a global description of signatures in the frequency domain as well as a global statistical modelling of each signature instance. To select the reference signatures, we propose a method based on the distribution of complexity values for all the available genuine signatures. The 2500 genuine samples of MCYT-100 online database are used in this study. Experimental results show the effectiveness of the method and of the here proposed complexity measure for this specific task.",

author = "Christian Kahindo and Sonia Garcia-Salicetti and Nesma Houmani",

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year = "2015",

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doi = "10.1109/BIOSIG.2015.7314595",

language = "English",

series = "Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)",

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editor = "Arslan Bromme and Arslan Bromme and Christoph Busch and Christoph Busch and Christian Rathgeb and Christian Rathgeb and Andreas Uhl and Andreas Uhl",

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Kahindo, C, Garcia-Salicetti, S & Houmani, N 2015, A signature complexity measure to select reference signatures for online signature verification. in A Bromme, A Bromme, C Busch, C Busch, C Rathgeb, C Rathgeb, A Uhl & A Uhl (eds), BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), vol. P-245, Gesellschaft fur Informatik (GI), 14th International Conference of the Biometrics Special Interest Group, BIOSIG 2015, Darmstadt, Germany, 9/09/15. https://doi.org/10.1109/BIOSIG.2015.7314595

A signature complexity measure to select reference signatures for online signature verification. / Kahindo, Christian; Garcia-Salicetti, Sonia ; Houmani, Nesma.
BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group. ed. / Arslan Bromme; Arslan Bromme; Christoph Busch; Christoph Busch; Christian Rathgeb; Christian Rathgeb; Andreas Uhl; Andreas Uhl. Gesellschaft fur Informatik (GI), 2015. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-245).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A signature complexity measure to select reference signatures for online signature verification

AU - Kahindo, Christian

AU - Garcia-Salicetti, Sonia

AU - Houmani, Nesma

PY - 2015/10/30

Y1 - 2015/10/30

N2 - This paper presents an original procedure for selecting the reference online signature instances of a writer, an important issue for any effective signature verifier. To this end, for each signature instance, we propose a novel complexity measure, by exploiting a global description of signatures in the frequency domain as well as a global statistical modelling of each signature instance. To select the reference signatures, we propose a method based on the distribution of complexity values for all the available genuine signatures. The 2500 genuine samples of MCYT-100 online database are used in this study. Experimental results show the effectiveness of the method and of the here proposed complexity measure for this specific task.

AB - This paper presents an original procedure for selecting the reference online signature instances of a writer, an important issue for any effective signature verifier. To this end, for each signature instance, we propose a novel complexity measure, by exploiting a global description of signatures in the frequency domain as well as a global statistical modelling of each signature instance. To select the reference signatures, we propose a method based on the distribution of complexity values for all the available genuine signatures. The 2500 genuine samples of MCYT-100 online database are used in this study. Experimental results show the effectiveness of the method and of the here proposed complexity measure for this specific task.

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M3 - Conference contribution

AN - SCOPUS:84959531275

T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

BT - BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group

A2 - Bromme, Arslan

A2 - Busch, Christoph

A2 - Rathgeb, Christian

A2 - Uhl, Andreas

PB - Gesellschaft fur Informatik (GI)

T2 - 14th International Conference of the Biometrics Special Interest Group, BIOSIG 2015

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Kahindo C, Garcia-Salicetti S , Houmani N. A signature complexity measure to select reference signatures for online signature verification. In Bromme A, Bromme A, Busch C, Busch C, Rathgeb C, Rathgeb C, Uhl A, Uhl A, editors, BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group. Gesellschaft fur Informatik (GI). 2015. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)). doi: 10.1109/BIOSIG.2015.7314595

A signature complexity measure to select reference signatures for online signature verification

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