DocumentCode
2230610
Title
A vehicle license plate recognition algorithm in night based on HSV
Author
Wanli, Feng ; Shangbing, Gao
Author_Institution
Sch. of Comput. Sci., Huaiyin Inst. of Technol., Huaiyin, China
Volume
4
fYear
2010
fDate
20-22 Aug. 2010
Abstract
In night, it is difficult to locate vehicle license plate for vehicle recognition. In this paper, the algorithm uses colorful component in HSV space depending on the character of vehicle images in night, can divide the vehicle- plate region and many noises including vehicle- lamp and it´s reflection light and road- line, and can delete the region without similar color of vehicle plate but with higher saturation value.And the paper stresses the improvement on “maximum & minimum optimization of entropy thresholding method” as well as the prospects of regional character, the background distribution in the traditional character segmentation algorithm. The experimental result shows that the method is simple and fast, and it decreases the conglutination between the characters but also reduce the isolated noise point. The recognition quality of system is as good as what we expected.
Keywords
character recognition; entropy; image recognition; optimisation; HSV space; background distribution; character segmentation; entropy thresholding method; maximum optimization; minimum optimization; vehicle license plate recognition; vehicle recognition; Image color analysis; Image segmentation; Maximum & Minimum Segment; hue component; nighttime image; saturation component;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579639
Filename
5579639
Link To Document