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MRZ Passport Reader from Image is a Python-based tool that automatically detects, segments, and extracts text from the Machine-Readable Zone (MRZ) of passport images. Utilizing deep learning models for segmentation and face detection, alongside EasyOCR for text recognition, it ensures accurate an... Read more

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This project presents a License Plate Recognition (LPR) system using YOLO models for object detection and EasyOCR for text recognition, designed to achieve real-time, accurate license plate detection. Trained on a diverse, hybrid dataset of over 52,000 labeled images.

This package is EasyOCR-based optical character recognition. Unlike EasyOCR, the package uses a pre-saved with onnx language models, so it doesn't need a 1-2 Gb pytorch dependency. This is particularly useful for developing and packaging light-weight applications that utilize text recognition.

EasyOCR is basically Optical Character Reading package that belongs from PyTorch. Using this texts from the images can be extracted easily, documents, texts can be scanned. For License Plate's Number Recognition, it can be applicable easily as it can extract the texts. About License Plate's Numbe... Read more