| 基于一维离散周期小波变换的实时车牌识别方法 |
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| 引用本文： | 曾文艳,王亚刚,邵惠鹤.基于一维离散周期小波变换的实时车牌识别方法[J].黑龙江电子技术,2014(2):65-68,72. |
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| 作者姓名： | 曾文艳 王亚刚 邵惠鹤 |
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| 作者单位： | 上海理工大学光电信息与计算机工程学院,上海200093 |
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| 基金项目： | 国家自然科学基金项目（61074087）;上海市教育委员会科研创新项目（12ZZ144） |
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| 摘 要： | 利用扫描窗口和一维离散周期小波变换以及BP人工神经网络进行车牌识别.被扫描的图像通过一维离散周期小波变换来选择图像的低频系数,这样可以提高执行车牌识别的速度.文中方法是直接对车牌进行扫描,不对单个字符进行识别,并通过MATLAB编程实现.新方法是一种实时识别,车牌识别的实验结果可高达94.7％.
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| 关 键 词： | 离散周期小波变换 车牌识别 BP人工神经网络 |
Real-time vehicle license plate recognition based on 1-D discrete periodic wavelet transform |
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| Authors: | ZENG Wen-yan WANG Ya-gang SHAO Hui-he |
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| Affiliation: | ( School of Optical-Electrical and Computer Engineering, University of Shanghai for Science ＆ Technology, Shanghai 200093, China) |
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| Abstract: | This paper is the use of the scanning window and 1-D discrete periodic wavelet transform and back propagation artificial neural network for the license plate recognition. By scanning the image through the one-dimensional discrete periodic wavelet transform, it selects the image low-frequency coefficients. Therefore, it can improve the rapid license plate recognition of implementation. It is a directly scanning for the license plate recognition, without the individual character recognition, and it is implemented by MATLAB. This new method is a kind of real-time,the recognition rate of the experimental results can be as high as 94.7%. |
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| Keywords: | discrete periodic wavelet transform license plate recognition BP artificial neural network |
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