Search for specific terms in images using regular expressions Recognition of texts in images and videos using Tesseract, EasyOCR and EAST To take you to this area, in this course you will learn in practice how to use OCR libraries to recognize text in images and videos, all the code implemented step by step using the Python programming language! We are going to use Google Colab, so you do not have to worry about installing libraries on your machine, as everything will be developed online using Google's GPUs! You will also learn how to build your own OCR from scratch using Deep Learning and Convolutional Neural Networks! Below you can check the main topics of the course: A self-driving car can use OCR to read traffic signs and a parking lot can guarantee access by reading the license plate of the cars! A common application is automatic form reading, in which you can send a photo of your credit card or your driver's license, and the system can read all your data without the need to type them manually. It is possible to convert scanned or photographed documents into texts that can be edited in any tool, such as the Microsoft Word.
OCR can be described as converting images containing typed, handwritten or printed text into characters that a machine can understand. Within the area of Computer Vision is the sub-area of Optical Character Recognition (OCR), which aims to transform images into texts.
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