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所在平台: Udemy |
课程主页: https://www.udemy.com/course/optical-character-recognition-ocr-masterclass-in-python/
课程评论：没有评论
课程名称：Python中的光学字符识别（OCR）大师班 课程概述： 欢迎参加“Python中的光学字符识别（OCR）大师班”课程。光学字符识别（OCR）技术是一个商业解决方案，旨在自动化从扫描文档或图像文件中提取已打印或手写文本的数据，并将文本转换为可由机器读取的格式，以便进行数据处理，如编辑或搜索。 OCR的好处包括： - 降低成本 - 加快工作流程 - 自动化文档路由和内容处理 - 集中和安全地管理数据（避免火灾、入侵或文件在后台遗失） - 改善服务，确保员工拥有最新和准确的信息 课程关键学习成果： - 使用OpenCV和Pytesseract从图像中识别文本 - 学习处理图像数据，并使用Python中的Pillow库对其进行操作 - 构建项目，如车牌识别、从图像中提取日期和其它重要信息 - 学习机器学习在某些OCR问题中的应用 - 掌握获取准确OCR结果所需的机器学习基本知识 - 构建文本识别准确率超过90%的机器学习模型 - 了解不同的图像预处理技术，如灰度化、二值化、侵蚀、膨胀等，以提高图像质量，从而改善OCR结果 该课程将为您提供全面的OCR知识和实用技能，帮助您在相关领域取得成功。
Welcome to Course "Optical Character Recognition (OCR) MasterClass in Python" Optical character recognition (OCR) technology is a business solution for automating data extraction from printed or written text from a scanned document or image file and then converting the text into a machine-readable form to be used for data processing like editing or searching.BENEFITS OF OCR:Reduce costsAccelerate workflowsAutomate document routing and content processingCentralize and secure data (no fires, break-ins or documents lost in the back vaults)Improve service by ensuring employees have the most up-to-date and accurate informationSome Key Learning Outcomes of this course are:Recognition of text from images using OpenCV and Pytesseract.Learn to work with Image data and manipulate it using Pillow Library in Python.Build Projects like License Plate Detection, Extracting Dates and other important information from images using the concepts discussed in this course.Learn how Machine Learning can be useful in certain OCR problems.This course covers basic fundamentals of Machine Learning required for getting accurate OCR results.Build Machine Learning models with text recognition accuracy of above 90%.You will learn about different image preprocessing techniques such as grayscaling, binarization, erosion, dilation etc.which will help to improve the image quality for better OCR results.
