dc.contributor.author | Zhai, Xiaojun | |
dc.contributor.author | Bensaali, Faycal | |
dc.contributor.author | Sotudeh, Reza | |
dc.date.accessioned | 2013-01-10T11:29:08Z | |
dc.date.available | 2013-01-10T11:29:08Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Zhai , X , Bensaali , F & Sotudeh , R 2012 , OCR-based neural network for ANPR . in Procs 2012 IEEE Int Conf on Imaging Systems and Techniques IST) . Institute of Electrical and Electronics Engineers (IEEE) , pp. 393-397 , Imaging Systems and Techniques (IST), 2012 IEEE International Conference on , Manchester , United Kingdom , 16/07/12 . https://doi.org/10.1109/IST.2012.6295581 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 978-1-4577-1776-5 | |
dc.identifier.uri | http://hdl.handle.net/2299/9540 | |
dc.description.abstract | Optical Character Recognition (OCR) is the last stage in an Automatic Number Plate Recognition System (ANPRs). In this stage the number plate characters on the number plate image are converted into encoded texts. In this paper, an Artificial Neural Network (ANN) based OCR algorithm for ANPR application is presented. A database of 3700 UK binary character images have been used for testing the performance of the proposed algorithm. Results achieved have shown that the proposed algorithm can meet the real-time requirement of an ANPR system and can averagely process a character image in 8.4ms with 97.3% successful recognition rate | en |
dc.format.extent | 458923 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | Procs 2012 IEEE Int Conf on Imaging Systems and Techniques IST) | |
dc.title | OCR-based neural network for ANPR | en |
dc.contributor.institution | School of Engineering and Technology | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Digital Media Processing and Biometrics | |
dc.contributor.institution | Smart Electronics Devices and Networks | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=84870680419&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1109/IST.2012.6295581 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |