设计汽车车牌面积检测算法，增强车牌识别

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI:10.1109/CAIPT.2017.8320749

Chi-Sung Ahn, Bong-Gyou Lee, Seung-Su Yang, Seok-Cheon Park

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引用次数: 6

摘要

由于韩国的汽车普及率高，导致交通拥堵，因此正在开发利用车牌识别技术的各种车辆管理系统。然而，现有的基于边缘的车牌检测技术由于车牌区域识别率较低，存在检测误差。因此，本文设计了一种汽车车牌区域检测算法，通过将canny边缘和拉普拉斯边缘相结合的操作来提高识别率，从而提高车牌的识别率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Design of car license plate area detection algorithm for enhanced recognition plate

The high penetration rate of cars in Korea causes a great deal of congested traffic, and a variety of car management systems which use license plate detection technology are being employed to overcome this problem. However, detection errors occur in existing edge-based license plate detection technology due to a low license plate area recognition rate. Therefore, in this paper we have designed a car license plate area detection algorithm which improves the recognition rate through an operation which combines canny and Laplacian edges in order to improve the license plate recognition rate.

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来源期刊

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)

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