![]() ![]() Character Classificationįinally the LeNet architecture is used to classify the letter and numbers in the image. ![]() That is, it’ll recognize and read the text embedded in images. Python-tesseract: Py-tesseract is an optical character recognition (OCR) tool for python. With the explosive growth in the number of vehicles in use, automated license plate recognition (ALPR) systems are required for a wide range of tasks such as law enforcement. The segmented plate will be preprocessed using OpenCV Character detectionĪnother YOLOv3 model is used to detect the character in the preprocessed image which has been trained by annotating the segmented images. We will use the Tesseract OCR An Optical Character Recognition Engine (OCR Engine) to automatically recognize text in vehicle registration plates. The YOLOv3 model is trained with over 3000 images in google colab. YOLOv3 is used to detect and segment the number plate in the images. Then all these images are manually annotated. ![]() We created our own dataset by capturing images of vechiles in differnt viewpoint and lighting condition. To run this project install the requirements from the requirements.txt file. This project is to detect and recognize the Indian License plate in images.Īnd move to the model folder. This project is no longer actively maintained. ![]()
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