Nowadays, a considerable amount of information is still recorded, stored, and distributed in paper format. The digitalization and automatic recognition of such documents is a vital activity that helps in managing costs and procedures when dealing with a lot of data.
Computer vision greatly helps in this task.
One of the most common computer vision applications is Optical Character Recognition (OCR) that is the conversion of images depicting text in machine-encoded text. But this is just the beginning.
Computer vision algorithms can be taught to automatically segment a document in its basic layout components, understanding and organizing content.
With the use of deep learning techniques, handwritten character recognition becomes possible.
Some applications of this technology are: