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An Improved License Plate Segmentation Algorithm ofLevel Set Local Binary Fitting Model(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2014年03期
Page:
75-
Research Field:
Publishing date:

Info

Title:
An Improved License Plate Segmentation Algorithm ofLevel Set Local Binary Fitting Model
Author(s):
Wang Hongya1; Gao Shangbing1; Tang Songtao2; Lin Yuebin3
(1.College of Computer Engineering,Huaiyin Institute of Techlonogy,Huaian 223003,China)(2.Huaiyin Command Center,Huaian Public Security Bureau,Huaian 223300,China)(3.Jiangsu Provincial Key Laboratory for Interventional Medical Devices,Huaiyin Institute of Technology,Huaian 223003,China)
Keywords:
license plate recognition; local binary fitting; character segmentation
PACS:
TB24
DOI:
-
Abstract:
This paper proposes an improved model of contour evolution LBF energy function,which combines the CV model energy term to accelerate evolution rate,and combines local mean LBF model information while introducing a global image of the local variance and variance information.Experimental results show that this method can provide accurate smooth closed boundary,and that precision can reach sub-pixel level,and that the recognition accuracy rate is high.

References:

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Memo:
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Last Update: 2014-09-30