New approaches for license plate recognition system

被引：0

作者：

Nathan, VSL ^{[1
]}

Ramkumar, J ^{[1
]}

Kamakshi, PS ^{[1
]}

机构：

[1] Sri Ramakrishna Engn Coll, Dept CSE, Coimbatore, Tamil Nadu, India

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT SENSING AND INFORMATION PROCESSING | 2004年

关键词：

license plate recognition; neural network; computer vision;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we describe two new approaches for segmenting and recognizing license plate. The first method exploits the fact that edges are most densely found in the region that contains the license plate. We have proposed a weight allocation scheme which segments the region with the most dense edges. The second method uses a hybrid neural network which we propose. The efficiency of the license plate recognition systems using the proposed methods have been studied.

引用

页码：149 / 152

页数：4

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