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  • Off-Line Signature Verification Systems: A Survey

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    77275_1.pdf (172.1Kb)
    Author(s)
    Pal, Srikanta
    Blumenstein, Michael
    Pal, U
    Griffith University Author(s)
    Blumenstein, Michael M.
    Pal, Srikanta
    Year published
    2011
    Metadata
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    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 ...
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    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.
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    Conference Title
    Proceedings of the 11th International Conference and Workshop in Emerging Trends in Technology
    DOI
    https://doi.org/10.1145/1980022.1980163
    Copyright Statement
    © 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
    Subject
    Image Processing
    Pattern Recognition and Data Mining
    Publication URI
    http://hdl.handle.net/10072/44743
    Collection
    • Conference outputs

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