dc.contributor.author | Pal, Srikanta | |
dc.contributor.author | Blumenstein, Michael | |
dc.contributor.author | Pal, U | |
dc.contributor.editor | B. K. Mishra | |
dc.date.accessioned | 2017-05-03T15:48:12Z | |
dc.date.available | 2017-05-03T15:48:12Z | |
dc.date.issued | 2011 | |
dc.date.modified | 2012-05-01T23:26:21Z | |
dc.identifier.doi | 10.1145/1980022.1980163 | |
dc.identifier.uri | http://hdl.handle.net/10072/44743 | |
dc.description.abstract | Signatures are extensively used as a means of personal verification. Manual signature-based authentication of a large number of documents is a very difficult and time consuming task. Consequently for many years, in the field of protected communication and financial applications, we have observed an explosive growth in biometric personal authentication systems that are closely connected with measurable physical unique characteristics (hand geometry, iris scan, finger prints or DNA) or behavioural features. Human signatures provide secure means for confirmation and authorization in legal documents. So nowadays, automatic signature verification becomes an essential component. In order to convey the state of- the-art in the field to researchers, in this paper we present a survey of off-line signature verification systems. | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 176308 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.publisher | ACM | |
dc.publisher.place | United States | |
dc.relation.ispartofstudentpublication | Y | |
dc.relation.ispartofconferencename | 11th International Conference and Workshop in Emerging Trends in Technology (ICWET 2011) | |
dc.relation.ispartofconferencetitle | Proceedings of the 11th International Conference and Workshop in Emerging Trends in Technology | |
dc.relation.ispartofdatefrom | 2011-02-25 | |
dc.relation.ispartofdateto | 2011-02-26 | |
dc.relation.ispartoflocation | Mumbai, India | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Image Processing | |
dc.subject.fieldofresearch | Pattern Recognition and Data Mining | |
dc.subject.fieldofresearchcode | 080106 | |
dc.subject.fieldofresearchcode | 080109 | |
dc.title | Off-Line Signature Verification Systems: A Survey | |
dc.type | Conference output | |
dc.type.description | E2 - Conferences (Non Refereed) | |
dc.type.code | E - Conference Publications | |
gro.faculty | Griffith Sciences, School of Information and Communication Technology | |
gro.rights.copyright | © ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceeding: ICWET '11 Proceedings of the International Conference & Workshop on Emerging Trends in Technology, ISBN: 978-1-4503-0449-8, http://dx.doi.org/10.1145/1980022.1980163 | |
gro.date.issued | 2011 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Blumenstein, Michael M. | |
gro.griffith.author | Pal, Srikanta | |