文件名称:chepaishibie2
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在车辆牌照自动识别系统中,因自然因素或采
样因素使得原本规则的印刷体字符产生畸变,给字符识别带
来了很大困难。本文在特征抽取的基础上,采用BP网络进行
分类,并附加线性感知器来实现单字的有效识别。该方法算法
简便,识别率高,可适用于多种高噪声环境中的印刷体字符识
别。
-Vehicle license in the automatic identification system, the result of natural factors or sampling factors make the original rules of the print characters have a distortion, to the character recognition has led to great difficulties. In this paper, feature extraction, based on the BP network used for classification, and additional linear perceptron to realize the effective recognition of words. The method is simple algorithm, high recognition rate, applicable to a wide range of high-noise environments print character recognition.
样因素使得原本规则的印刷体字符产生畸变,给字符识别带
来了很大困难。本文在特征抽取的基础上,采用BP网络进行
分类,并附加线性感知器来实现单字的有效识别。该方法算法
简便,识别率高,可适用于多种高噪声环境中的印刷体字符识
别。
-Vehicle license in the automatic identification system, the result of natural factors or sampling factors make the original rules of the print characters have a distortion, to the character recognition has led to great difficulties. In this paper, feature extraction, based on the BP network used for classification, and additional linear perceptron to realize the effective recognition of words. The method is simple algorithm, high recognition rate, applicable to a wide range of high-noise environments print character recognition.
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神经网络在车牌识别中的应用.caj