Nguwi, Y.Y., and Lim, W.J. (2015) Number plate recognition in noisy image. In: Proceedings of the 8th International Conference on Image and Signal Processing. pp. 476-480. From: CISP 2015: 8th International Conference on Image and Signal Processing, 14-16 October 2015, Shenyang, China.

PDF (Published Version) - Published Version Restricted to Repository staff only

Abstract

Number plate recognition has been used widely for access control, congestion control, vehicle management, security control and vehicle behavior monitoring system. This study discusses the importance of number plate recognition and its corresponding application in different countries. Various methods for recognizing number plates are reviewed. Most of the systems are able to deliver good recognition rate of above 90%. However, there is a lack of literature reporting number plate recognition in images with noisy background. We propose and report a system that is able to tolerate noise level up to 20% with recognition rate of 85%. The system utilized a combination of filters and morphological transformation for segmenting the number plate. It then uses resilient backpropagation neural networks for recognition.

Item ID:	41088
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-4673-9098-9
Date Deposited:	19 Apr 2016 23:07
FoR Codes:	10 TECHNOLOGY > 1099 Other Technology > 109999 Technology not elsewhere classified @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
Downloads:	Total: 7
	More Statistics