Off-line Bangla signature verification

Pal, S; Nguyen, V; Blumenstein, M; Pal, U

Off-line Bangla signature verification

Pal, S Nguyen, V Blumenstein, M

Pal, U

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012, 2012, pp. 282 - 286
Issue Date:: 2012-05-24

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Field	Value	Language
dc.contributor.author	Pal, S	en_US
dc.contributor.author	Nguyen, V	en_US
dc.contributor.author	Blumenstein, M https://orcid.org/0000-0002-9908-3744	en_US
dc.contributor.author	Pal, U	en_US
dc.date.issued	2012-05-24	en_US
dc.identifier.citation	Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012, 2012, pp. 282 - 286	en_US
dc.identifier.isbn	9780769546612	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120957
dc.description.abstract	In the field of information security, biometric systems play an important role. Within biometrics, automatic signature identification and verification has been a strong research area because of the social and legal acceptance and extensive use of the written signature as an individual authentication. Signature verification is a process in which the questioned signature is examined in detail in order to determine whether it belongs to the claimed person or not. Despite substantial research in the field of signature verification involving Western signatures, very few works have been dedicated to non-Western signatures such as Chinese, Japanese, Arabic, or Persian etc. In this paper, the performance of an off-line signature verification system involving Bangla signatures, whose style is distinct from Western scripts, was investigated. The Gaussian Grid feature extraction technique was employed for feature extraction and Support Vector Machines (SVMs) were considered for classification. The Bangla signature database employed in the experiments consisted of 3000 forgeries and 2400 genuine signatures. An encouraging accuracy of 90.4% was obtained from the experiments. © 2012 IEEE.	en_US
dc.relation.ispartof	Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012	en_US
dc.relation.isbasedon	10.1109/DAS.2012.60	en_US
dc.title	Off-line Bangla signature verification	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In the field of information security, biometric systems play an important role. Within biometrics, automatic signature identification and verification has been a strong research area because of the social and legal acceptance and extensive use of the written signature as an individual authentication. Signature verification is a process in which the questioned signature is examined in detail in order to determine whether it belongs to the claimed person or not. Despite substantial research in the field of signature verification involving Western signatures, very few works have been dedicated to non-Western signatures such as Chinese, Japanese, Arabic, or Persian etc. In this paper, the performance of an off-line signature verification system involving Bangla signatures, whose style is distinct from Western scripts, was investigated. The Gaussian Grid feature extraction technique was employed for feature extraction and Support Vector Machines (SVMs) were considered for classification. The Bangla signature database employed in the experiments consisted of 3000 forgeries and 2400 genuine signatures. An encouraging accuracy of 90.4% was obtained from the experiments. © 2012 IEEE.

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http://hdl.handle.net/10453/120957