Açık Akademik Arşiv Sistemi

Number-plate recognition using inductive learning

Show simple item record

dc.contributor.authors Aksoy, MS; Cagil, G; Turker, AK;
dc.date.accessioned 2020-02-25T11:41:11Z
dc.date.available 2020-02-25T11:41:11Z
dc.date.issued 2000
dc.identifier.citation Aksoy, MS; Cagil, G; Turker, AK; (2000). Number-plate recognition using inductive learning. ROBOTICS AND AUTONOMOUS SYSTEMS, 33, 153-149
dc.identifier.issn 0921-8890
dc.identifier.uri https://hdl.handle.net/20.500.12619/48245
dc.description.abstract This paper presents an alternative technique for number-plate recognition. It employs RULES-3 inductive learning algorithm and template matching technique. Each number or letter used in number plates is considered as an example which consists of 20 frequencies of each 3 x 3 mask used for representation. In order to recognise a number plate, all the characters contained are tested one by one using the extracted set of rules by RULES-3. (C) 2000 Elsevier Science B.V. All rights reserved.
dc.language English
dc.publisher ELSEVIER SCIENCE BV
dc.subject Robotics
dc.title Number-plate recognition using inductive learning
dc.type Proceedings Paper
dc.identifier.volume 33
dc.identifier.startpage 149
dc.identifier.endpage 153
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü
dc.contributor.saüauthor Çağıl, Gültekin
dc.relation.journal ROBOTICS AND AUTONOMOUS SYSTEMS
dc.identifier.wos WOS:000089971400007
dc.contributor.author Çağıl, Gültekin


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record