Howtosignalprocessing
What is text recognition used for?
Optical Character Recognition (OCR) is the process that converts an image of text into a machine-readable text format. For example, if you scan a form or a receipt, your computer saves the scan as an image file. You cannot use a text editor to edit, search, or count the words in the image file.
Which algorithm is used in text recognition?
Basic Concept of OCR
Optical character recognition (OCR) algorithms allow computers to analyze printed or handwritten documents automatically and prepare text data into editable formats for computers to efficiently process them.
Is OCR A CNN?
The OCR can be implemented by using Convolutional Neural Network (CNN), which is a popular deep neural network architecture. The traditional CNN classifiers are capable of learning the important 2D features present in the images and classify them, the classification is performed by using soft-max layer.
