works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate - zhubenfu/License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9
def CaridDetect(car_pic): # 加载图片 img = cv2.imread(car_pic) pic_hight, pic_width = img.shape[:2] if pic_width > MAX_WIDTH: resize_rate = MAX_WIDTH / pic_width img = cv2.resize(img, (MAX_WIDTH, int(pic_hight*resize_rate)), interpolation=cv2.INTER_AREA) ...
Blurriness: The Blurriness of the license plate region. If you have any problems about CCPD, please contactdetectrecog@gmail.com. Please cite the paper《Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline》, if you benefit from this dataset....
Licence plate localization and recognition (LPLR) uses image processing and characterrecognition technology in order to identify the licence number plates of the vehiclesautomatically. LPLR system is a kind of an intelligent transport system and is also ofconsiderable interest because of its good ...