License plate recognition from still images and video sequences: A survey

Anagnostopoulos, C-NE; Anagnostopoulos, IE; Psoroulas, ID; Loumos, V; Kayafas, E

dc.contributor.author	Anagnostopoulos, C-NE	en
dc.contributor.author	Anagnostopoulos, IE	en
dc.contributor.author	Psoroulas, ID	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T01:28:43Z
dc.date.available	2014-03-01T01:28:43Z
dc.date.issued	2008	en
dc.identifier.issn	1524-9050	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18939
dc.subject	Image processing	en
dc.subject	License plate identification	en
dc.subject	License plate recognition (LPR)	en
dc.subject	License plate segmentation	en
dc.subject	Optical character recognition (OCR)	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Image acquisition	en
dc.subject.other	Image enhancement	en
dc.subject.other	Imaging techniques	en
dc.subject.other	License plates (automobile)	en
dc.subject.other	Object recognition	en
dc.subject.other	Photography	en
dc.subject.other	Video recording	en
dc.subject.other	Algorithmic assessment	en
dc.subject.other	Computational power	en
dc.subject.other	Illumination conditions	en
dc.subject.other	Image processing	en
dc.subject.other	License plate identification	en
dc.subject.other	License plate recognition	en
dc.subject.other	License plate recognition (LPR)	en
dc.subject.other	License plate segmentation	en
dc.subject.other	License plates	en
dc.subject.other	Non uniform	en
dc.subject.other	Optical character recognition (OCR)	en
dc.subject.other	Processing Time	en
dc.subject.other	Public image	en
dc.subject.other	Recognition rates	en
dc.subject.other	Reference point	en
dc.subject.other	Still images	en
dc.subject.other	Vehicle speeds	en
dc.subject.other	Video sequencing	en
dc.subject.other	Optical character recognition	en
dc.title	License plate recognition from still images and video sequences: A survey	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TITS.2008.922938	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TITS.2008.922938	en
heal.identifier.secondary	4518951	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	License plate recognition (LPR) algorithms in images or videos are generally composed of the following three processing steps: 1) extraction of a license plate region; 2) segmentation of the plate characters; and 3) recognition of each character. This task is quite challenging due to the diversity of plate formats and the nonuniform outdoor illumination conditions during image acquisition. Therefore, most approaches work only under restricted conditions such as fixed illumination, limited vehicle speed, designated routes, and stationary backgrounds. Numerous techniques have been developed for LPR in still images or video sequences, and the purpose of this paper is to categorize and assess them. Issues such as processing time, computational power, and recognition rate are also addressed, when available. Finally, this paper offers to researchers a link to a public image database to define a common reference point for LPR algorithmic assessment. © 2008 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Intelligent Transportation Systems	en
dc.identifier.doi	10.1109/TITS.2008.922938	en
dc.identifier.isi	ISI:000258913500001	en
dc.identifier.volume	9	en
dc.identifier.issue	3	en
dc.identifier.spage	377	en
dc.identifier.epage	391	en