Optical Character Recognition (OCR) aims to transform images into texts . OCR can be described as converting images containing typed, handwritten or printed text into characters that a machine can understand . 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 . 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 . Use Tesseract, EAST and EasyOCR tools for text recognition in images and videos .Authentication failed. Unique API key is not valid for this user.
Who this course is for:
Anyone interested in OCR (Optical Character Recognition)
Undergraduate students who are studying subjects related to Artificial Intelligence, Digital Image Processing or Computer Vision
Data Scientists who want to increase their knowledge in Computer Vision
Professionals interested in developing professional optical character recognition solutions
People interested in creating their own custom OCR
File Name :
Optical Character Recognition (OCR) in Python free download
