LECTURE NOTES IN COMPUTER SCIENCE

dc.contributor.authors	Oz, C;
dc.date.accessioned	2020-01-13T07:57:04Z
dc.date.available	2020-01-13T07:57:04Z
dc.date.issued	2005
dc.identifier.citation	Oz, C; (2005). LECTURE NOTES IN COMPUTER SCIENCE. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 2, PROCEEDINGS, 3497, 202-195
dc.identifier.isbn	3-540-25913-9
dc.identifier.issn	0302-9743
dc.identifier.uri	https://hdl.handle.net/20.500.12619/2519
dc.description.abstract	In this paper, we present off-line signature recognition and verification system which is based on image processing, moment invariant method and ANN. Two separate sequential neural networks are designed; one for signature recognition, and another for verification (i.e. for detecting forgery). Verification network parameters which are produced individually for every signature are controlled by a recognition network. The System overall performs is enough to signature recognition and verification.
dc.language	English
dc.publisher	SPRINGER-VERLAG BERLIN
dc.subject	Computer Science
dc.title	LECTURE NOTES IN COMPUTER SCIENCE
dc.type	Proceedings Paper
dc.identifier.volume	3497
dc.identifier.startpage	195
dc.identifier.endpage	202
dc.contributor.department	Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü
dc.contributor.saüauthor	Öz, Cemil
dc.relation.journal	ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 2, PROCEEDINGS
dc.identifier.wos	WOS:000230167200031
dc.contributor.author	Öz, Cemil