How Optical Character Recognition (OCR) Works | Applications, Tesseract, EasyOCR

This article on OCR accuracy discusses how the best OCR tools work, metrics to measure OCR accuracy, factors affecting OCR models, and how to overcome its limitations.

OCR accuracy refers to the ability of optical character recognition software to produce machine-readable text content from scanned images or PDF files that exactly match the letters, numbers, symbols, and words in the original document.

本文将探讨如何定义OCR识别中文或英文文本的正确率，并介绍一些常用的评估指标和方法。 首先，我们需要明确OCR识别的正确率是指OCR系统能够正确识别文本图像中字符的比例。 这个比例可以通过比较OCR系统输出的文本与原始文本之间的差异来计算。