期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：5007
DOI：10.15680/IJIRCCE.2016.0404109
出版社：S&S Publications
摘要：Most vehicle license plate recognition use neural network techniques to enhance its computing capability. The image of the vehicle license plate is capt ured and processed to produce a textual output for further processing. This paper reviews image processing and feature extraction, segmentation and recognition in such way to remove the noise of the image, to enhance the image quality and to expedite the c omputing process by converting the characters in the image in to respective text. An exemplary experiment has been done in DOT NET Framework to show the basic process of the image processing especially for license plate. An algorithm is adopted into the so lution for parking management & Toll Booth Entry system. The solution then is implemented as proof of concept to the algorithm. A smart and simple algorithm is presented for vehicle's license plate recognition system. The proposed algorithm consists of thr ee major parts: Extraction of plate region, segmentation of characters and recognition of plate characters. For extracting the plate region edge detection and morphological operations are used. In segmentation part scan line algorithm is used. The experime nt results show a good performance of this new segmentation algorithm
