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车牌识别实现的方式有哪些
车牌识别实现的方式有哪些
What are the ways to realize license plate recognition
识别步骤概括为：车牌定位、车牌提取、字符识别。三个步骤地识别工作相辅相成，各自的有效率都较高，整体的识别率才会提高。识别速度的快慢取决于字符识别，字符的识别目前的主要应用技术为比对识别样本库，即将所有的字符建立样本库，字符提取后通过比对样本库实现字符的判断，识别过程中将产生可信度、倾斜度等中间结果值；另一种是基于字符结构知识的字符识别技术，更加有效的提高识别速率和准确率，适应性较强。
The recognition steps are summarized as: license plate location, license plate extraction and character recognition. The three steps of recognition work complement each other, and their respective efficiency is high, so the overall recognition rate will be improved. The speed of recognition depends on character recognition. At present, the main application technology of character recognition is comparison recognition sample library, that is, establish a sample library for all characters. After character extraction, judge the characters through the comparison sample library. In the recognition process, intermediate result values such as credibility and inclination will be generated; The other is character recognition technology based on character structure knowledge, which can effectively improve the recognition speed and accuracy, and has strong adaptability.
车牌识别系统实现的方式主要分为两种：一种是静态图像图片的识别，另一种是动态视频流的实时识别。静态图像识别技术的识别有效率较大程度接地变电阻柜 精密铸造 中频电炉设备 保定断桥铝门窗 保定养老院 镜子批发 启闭机上受限于图像的抓拍质量，为单帧图像识别，目前市场产品识别速度平均为200毫秒；而动态视频流的识别技术适应性较强，识别速度快，它实现了对视频每一帧图像进行识别，增加识别比对次数，择优选取车牌号，关键在于较少的受到单帧图像质量的影响，目前市场产品识别较好的时间为10毫秒。
License plate recognition system can be realized in two ways: one is static image recognition, the other is real-time recognition of dynamic video stream. The recognition efficiency of static image recognition technology is largely limited to the capture quality of images. It is a single frame image recognition. At present, the average product recognition speed in the market is 200 milliseconds; However, the recognition technology of dynamic video stream has strong adaptability and fast recognition speed. It realizes the recognition of each video frame image, increases the number of recognition comparisons, and selects the best license plate number. The key is that it is less affected by the quality of single frame image. At present, the product recognition time in the market is 10 milliseconds.
What are the ways to realize license plate recognition
识别步骤概括为：车牌定位、车牌提取、字符识别。三个步骤地识别工作相辅相成，各自的有效率都较高，整体的识别率才会提高。识别速度的快慢取决于字符识别，字符的识别目前的主要应用技术为比对识别样本库，即将所有的字符建立样本库，字符提取后通过比对样本库实现字符的判断，识别过程中将产生可信度、倾斜度等中间结果值；另一种是基于字符结构知识的字符识别技术，更加有效的提高识别速率和准确率，适应性较强。
The recognition steps are summarized as: license plate location, license plate extraction and character recognition. The three steps of recognition work complement each other, and their respective efficiency is high, so the overall recognition rate will be improved. The speed of recognition depends on character recognition. At present, the main application technology of character recognition is comparison recognition sample library, that is, establish a sample library for all characters. After character extraction, judge the characters through the comparison sample library. In the recognition process, intermediate result values such as credibility and inclination will be generated; The other is character recognition technology based on character structure knowledge, which can effectively improve the recognition speed and accuracy, and has strong adaptability.
车牌识别系统实现的方式主要分为两种：一种是静态图像图片的识别，另一种是动态视频流的实时识别。静态图像识别技术的识别有效率较大程度接地变电阻柜 精密铸造 中频电炉设备 保定断桥铝门窗 保定养老院 镜子批发 启闭机上受限于图像的抓拍质量，为单帧图像识别，目前市场产品识别速度平均为200毫秒；而动态视频流的识别技术适应性较强，识别速度快，它实现了对视频每一帧图像进行识别，增加识别比对次数，择优选取车牌号，关键在于较少的受到单帧图像质量的影响，目前市场产品识别较好的时间为10毫秒。
License plate recognition system can be realized in two ways: one is static image recognition, the other is real-time recognition of dynamic video stream. The recognition efficiency of static image recognition technology is largely limited to the capture quality of images. It is a single frame image recognition. At present, the average product recognition speed in the market is 200 milliseconds; However, the recognition technology of dynamic video stream has strong adaptability and fast recognition speed. It realizes the recognition of each video frame image, increases the number of recognition comparisons, and selects the best license plate number. The key is that it is less affected by the quality of single frame image. At present, the product recognition time in the market is 10 milliseconds.
