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This project is centered around leveraging CRNN (Convolution Recurrent Neural Networks) and Digital Image Processing principles to extract license plates from car images and convert them to text. By using advanced AI algorithms and computer vision techniques, the project aims to provide a reliable and accurate way to recognize license plates.

Python 91.66% HTML 8.34%
flask ocr-recognition opencv-python python3 pytorch rcnn-model

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Car License Plate Recognition

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