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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 |
Files in This Item:
File | Description | Size | Format | |
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Ankit Tiwari 2k15isy04 Mtech.pdf | 1.68 MB | Adobe PDF | View/Open |
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