He determined that the best application of this technology would be a machine-learning device for the blind, so he built a text-to-speech reading machine. in 1974, intending to develop an Omni- font OCR optical character recognition product that could recognize text printed in virtually any font. Ray Kurzweil founded Kurzweil Computer Products, Inc. In addition, OCR has emerged as a mature technology and one of the most deep-seated areas of artificial technology research. OCR comes on the top list of important research areas in artificial intelligence, pattern recognition, and computer vision. Brief History of Optical Character Recognition Let's closely examine Optical Character Recognition, starting with the OCR's brief history. Furthermore, we will also examine how Optical Character Recognition (OCR) works. In this article, we'll cover what Optical Character Recognition (OCR) means, Scene Text Recognition, and the differences between OCR and STR. If you would like to discover how image processing works technically, you can check out our latest blog post: " BASIC IMAGE PROCESSING APPLICATION." However, if you are looking for a definite guide on Optical Character Recognition (OCR), you are at the right place!īefore you continue reading the blog, if you are looking for a simple text recognition app, try Cameralyze Text Recognition now! It can be explained in short as converting printed or handwritten text into a digital format by image processing. You can, however, use OCR to convert the image into a text document, the content of which is saved as text data. A text editor cannot be used to edit, search, or count words in an image file. For example, when you scan a form or receipt, your computer saves the scanned content as an image file. The process of converting a text image into a machine-readable text format is known as optical character recognition (OCR). What is Optical Character Recognition (OCR) - The Definite Guide
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