A Framework to Detect Digital Text Using OCR Machine Learning

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Arun Kumar R


OCR, machine learning, recognition, character recognition, CNN


The deep learning algorithm used in this paper to explain optical character recognition Deep learning and character recognition have recently caught the attention of numerous scholars. In many classification and recognition problems, deep neural networks operate at the cutting edge. Ocular character recognition is referred to as OCR. utilizes a character's optical picture as input and outputs that character. Numerous uses for it exist, such as robotics, traffic monitoring, and the digitization of printed materials. OCR can be implemented using Convolutional neural networks are examples of deep neural network designs (CNN),which is a well-known example. Traditional CNN classifiers can classify pictures using the soft-max layer by learning the most important 2D characteristics that are present in the medical images.

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