The principle is to identify the number of the license plate by taking pictures of the vehicle traveling on the road by the camera. The process involves: vehicle detection - image acquisition - preprocessing - license plate location - character segmentation - character recognition - result output.
Vehicle detection: It can detect the passage of the vehicle through various methods such as buried coil detection, infrared detection, radar detection technology, and video detection, and triggers image capture and capture.
Image acquisition: Real-time, continuous recording and acquisition of passing vehicles through high-definition video capture.
Preprocessing: noise filtering, auto white balance, auto exposure and gamma correction, edge enhancement, contrast adjustment, etc.
License Plate Positioning: Rows are scanned on the grayscale image after image preprocessing to determine the license plate area.
Character segmentation: After the license plate area is located in the image, the character area is accurately positioned through processing such as graying and binarization, and then character segmentation is performed according to the character size feature.
Character recognition: The segmented characters are scaled, extracted, and matched with the standard character representation in the character database template.
Result output: The license plate recognition result is output in text format.
Vehicle detection: It can detect the passage of the vehicle through various methods such as buried coil detection, infrared detection, radar detection technology, and video detection, and triggers image capture and capture.
Image acquisition: Real-time, continuous recording and acquisition of passing vehicles through high-definition video capture.
Preprocessing: noise filtering, auto white balance, auto exposure and gamma correction, edge enhancement, contrast adjustment, etc.
License Plate Positioning: Rows are scanned on the grayscale image after image preprocessing to determine the license plate area.
Character segmentation: After the license plate area is located in the image, the character area is accurately positioned through processing such as graying and binarization, and then character segmentation is performed according to the character size feature.
Character recognition: The segmented characters are scaled, extracted, and matched with the standard character representation in the character database template.
Result output: The license plate recognition result is output in text format.
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