The different functions provided in OpenCV are: The basic morphological operations are Erosion, Dilation, Opening, Closing. Morphological Transformation: These are the operations based on image shapes and are performed on binary images.OpenCV provides a cv2.Sobel() function to calculate Sobel operators. Using derivatives we calculate the gradients, and a high change in gradient indicates a major change in the image. This feature is important for many computer vision tasks. Sobel: Here we calculate the derivatives from the image.OpenCV provides a cv2.GaussianBlur() function for this task. This technique is highly effective to remove Gaussian noise. Gaussian Blur: Here we use a Gaussian kernel to smoothen the image. In this python project, to identify the number plate in the input image, we will use following features of openCV: Install OpenCV and Pytesseract pip3 python package: pip3 install opencv-python Whereas Pytesseract is a Tesseract-OCR Engine to read image types and extract the information present in the image. OpenCV is an open-source machine learning library and provides a common infrastructure for computer vision. Automatic License Number Plate Recognition
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