文件名称:Plate-recognition-system-source-code
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本源码是基于MATLAB实现车牌识别并语音播报。
本系统针对家庭小型车蓝底白字车牌进行识别。根据彩色图像的RGB比例定位出近似蓝色的候选区域。但是由于RGB三原色空间中两点间的欧氏距离与颜色距离不成线性比例，在设定蓝色区域的定位范围时不能很好的控制。因此造成的定位出错是最主要的。这样在图片中出现较多的蓝色背景情况下识别率会下降，不能有效提取车牌区域。对此本文提出了自适应调节方案。对分割出来的区域进行识别调整。根据长宽比，蓝白色比对候选区域进行多次定位。最终找到车牌区域。
对字符正确识别之后，用事先对对每一个字符的录音根据对应字符顺序播放。在对车牌区域识别出错、字体分割出错时程序暂停，并有语音提醒。-The source is based on MATLAB license plate recognition and voice broadcast. The system for the small family car blue and white license plate recognition. Approximate positioning of the blue color candidate area based on the ratio of RGB images. However, due to the RGB color space, the Euclidean distance between two points is not a linear scale and color distance, in the blue region of the positioning range setting is not well controlled. Therefore, the positioning error is the main cause. This appears in the picture under a blue background more recognition rate will drop, can not effectively extract the license plate area. This paper presents an adaptive adjustment program. On the segmented regions to identify adjustments. According to the aspect ratio, blue and white area than the candidate repeatedly positioning. Finally found the license plate area. After correctly identify the characters, prior to use for recording each character according to the corresponding sequence of characte
本系统针对家庭小型车蓝底白字车牌进行识别。根据彩色图像的RGB比例定位出近似蓝色的候选区域。但是由于RGB三原色空间中两点间的欧氏距离与颜色距离不成线性比例，在设定蓝色区域的定位范围时不能很好的控制。因此造成的定位出错是最主要的。这样在图片中出现较多的蓝色背景情况下识别率会下降，不能有效提取车牌区域。对此本文提出了自适应调节方案。对分割出来的区域进行识别调整。根据长宽比，蓝白色比对候选区域进行多次定位。最终找到车牌区域。
对字符正确识别之后，用事先对对每一个字符的录音根据对应字符顺序播放。在对车牌区域识别出错、字体分割出错时程序暂停，并有语音提醒。-The source is based on MATLAB license plate recognition and voice broadcast. The system for the small family car blue and white license plate recognition. Approximate positioning of the blue color candidate area based on the ratio of RGB images. However, due to the RGB color space, the Euclidean distance between two points is not a linear scale and color distance, in the blue region of the positioning range setting is not well controlled. Therefore, the positioning error is the main cause. This appears in the picture under a blue background more recognition rate will drop, can not effectively extract the license plate area. This paper presents an adaptive adjustment program. On the segmented regions to identify adjustments. According to the aspect ratio, blue and white area than the candidate repeatedly positioning. Finally found the license plate area. After correctly identify the characters, prior to use for recording each character according to the corresponding sequence of characte
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下载文件列表
Plate recognition system source code\0.BMP
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....................................\caitu_fenge.m
....................................\caitu_tiqu.m
....................................\CPGUI.BMP
....................................\cpguizhou.bmp
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....................................\Data.xls
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