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Proceedings Paper

A vehicle license plate localization method using color barycenters hexagon model
Author(s): Xiaolei Wan; Jingbo Liu; Jin Liu
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Paper Abstract

Detecting and extracting the region of a license plate is the challenging first step in the vehicle license plate recognition system. In this paper, we propose a new approach for vehicle license plate localization using a Color Barycenters Hexagon (CBH) model. In CBH model, full color images are calculated the color barycenters and get the barycenters region, then automatic select the idea threshold curves to separate the Region of Interest (ROI) of barycenters aiming to localize the region of the vehicle license plate. Experimental results demonstrate that our method is effective, has strong practicability. Even if the practically images have many noise, our method can ideally localize vehicle license plate on various scene images when source image with suitably thresholding and operations.

Paper Details

Date Published: 8 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092O (8 July 2011); doi: 10.1117/12.896475
Show Author Affiliations
Xiaolei Wan, Nanyang Institute of Technology (China)
Jingbo Liu, Southwest Jiaotong Univ. (China)
Jin Liu, Southwest Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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