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Comparative Analysis: EasyOCR vs Tesseract OCR for Scene Text Recognition
Автор: Student3377
Загружено: 2025-11-13
Просмотров: 72
Описание:
A comprehensive comparison of EasyOCR and Tesseract OCR engines for scene text recognition using the ICDAR 2013 benchmark dataset.
Project Overview:
This study evaluates two popular OCR engines across three preprocessing scenarios to determine optimal approaches for real-world scene text recognition.
Methodology:
Dataset: ICDAR 2013 (10 randomly selected test images)
Engines: EasyOCR (deep learning) vs Tesseract (traditional CV)
Preprocessing: None / Basic (resize + grayscale) / Advanced (CLAHE + denoising + sharpening)
Metrics: Detection accuracy, false positive rate, word detection count
Tools: Python, OpenCV, EasyOCR, PyTesseract
Course: Computer Vision
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