Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/15973
Title: CHARACTER RECOGNITION USING DEEP LEARNING NEURAL NETWORK
Authors: TIWARI, ANKIT
Keywords: OPTICAL CHARACTER RECOGNITION
NEURAL NETWORK
Issue Date: Jul-2017
Series/Report no.: TD-2955;
Abstract: OCR stands for Optical Character Recognition and is the mechanical or electronic translation of images consisting of text into the editable text. It is mostly used to convert handwritten(taken by scanner or by other means) into text. Human beings recognize many objects in this manner our eyes are the "optical mechanism." But while the brain "sees" the input, the ability to comprehend these signals varies in each person according to many factors. Digitization of text documents is often combined with the process of optical character recognition (OCR). Recognizing a character is a normal and easy work for human beings, but to make a machine or electronic device that does character recognition is a difficult task. Recognizing characters is one of those things which humans do better than the computer and other electronic devices.
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/15973
Appears in Collections:M.E./M.Tech. Computer Engineering

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