Computer Vision - OCR using Python
Optical Character Recognition, or OCR, is the current buzzword in the artificial intelligence industry that is pushing business digitization. Every business wants to use OCR to gain easier and faster access to its digital data sources. An OCR implementation not only speeds up the workflow of text operations across many sectors, but also contributes to a better customer experience. According to recent study analysis, the OCR market, which was about 7.2 billion US dollars in 2016, is predicted to increase dramatically and reach 13.4 billion US dollars by 2025.
Enroll in this course to learn how to use Optical Character Recognition (OCR) to extract data from images and PDFs using Python. The course discusses the theory of ideas and then shows you code to make you an expert in computer vision and OCR. It teaches you how to detect text using OpenCV and Deep Learning models; recognize text using Tesseract and OCR; and label text using Spacy and Regular Expression. It aids you in developing technological solutions for the most common OCR use cases in business, where they utilize OCR to transform images to text. This is one of the greatest online courses to learn computer vision.
Who is this course is for:
- Beginners to Computer Vision
- OCR Engineer
- OCR Specialist
- Machine Learning Professionals
- Anyone looking to become more employable as a Computer Vision Expert
Requirements:
- Basic Programming skills in Python
Udemy rating: 4.6/5
Enroll here: https://www.udemy.com/course/computer-vision-ocr-using-python/
