Handwritten signature verification

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/416

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DC Field	Value	Language
dc.contributor.author	Ma, Ho Wang
dc.date.accessioned	2006-01-20T02:00:23Z
dc.date.accessioned	2017-09-19T08:50:35Z
dc.date.accessioned	2019-02-12T06:53:54Z	-
dc.date.available	2006-01-20T02:00:23Z
dc.date.available	2017-09-19T08:50:35Z
dc.date.available	2019-02-12T06:53:54Z	-
dc.date.issued	2005
dc.identifier.other	2005csmhw205
dc.identifier.uri	http://144.214.8.231/handle/2031/416	-
dc.description.abstract	This paper describes a multi-level model for on-line handwritten signature verification. The signature is captured by the tablet of Pocket PC devices. After preprocessing the signature, both static and dynamic features would be extracted. Different features would use in different level in the model in order to speed up the forgery identify speed and increase the accuracy of the system. The similarity between signatures is computed by using Hidden Markov Model and Dynamic Time Warping algorithms.	en
dc.format.extent	164 bytes
dc.format.mimetype	text/html
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
dc.rights	Access is restricted to CityU users.
dc.title	Handwritten signature verification	en
dc.contributor.department	Department of Computer Science	en
dc.description.supervisor	Dr. Ngo C W. First Reader: Dr. Choy Marian. Second Reader: Prof. Chan Y K	en
Appears in Collections:	Computer Science - Undergraduate Final Year Projects

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