Neural Networks for Unicode Optical Character Recognition
Abstract: The central objective of this project is demonstrating the capabilities of Artificial Neural Network implementations in recognizing extended sets of optical language symbols. The applications of this technique range from document digitizing and preservation to handwritten text recognition in handheld devices. The classic difficulty of being able to correctly recognize even typed optical language symbols is the complex irregularity among pictorial representations of the same c ....etc

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Neural network mechanisms are a relatively new and developing science in computer technologies. The particular area derives its basis from the way neurons interact and function in the natural animal brain, especially humans. The animal brain is known to operate in massively parallel manner in recognition, reasoning, reaction and damage recovery. All these seemingly sophisticated undertakings are now understood to be attributed to aggregations of very simple algorithms of pattern storage and retrieval. Neurons in the brain communicate with one a ....etc

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To get full information or details of optical hindi character recognition matlab code free download please have a look on the pages

http://jips-kdlibrary/JIPS_v09_no1_paper81.pdf

http://cs229.stanford.edu/proj2010/KhandelwalGoyalKeshri-opticalCharacterRecognitionforHandwrittenHindi.pdf

if you again feel trouble on optical hindi character recognition matlab code free download please reply in that page and ask specific fields in optical hindi character recognition matlab code free download ....etc

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Abstract
Image Processing is now a days considered to be a favorite topic in the IT industry. One of its major applications is Optical Character Recognition (OCR). When the object to be matched is presented then our brains or in general recognition system starts extracting the important features of the object that includes color, depth, shape & size. These features are stored in the part of the memory. Now the brain starts finding the closest match for these extracted features in the whole collection of objects, which is already stored in it. ....etc

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Abstract:-
This report explores the application of neural networks to the problem of identifying optically scanned characters in an automated manner.
Input:- scanned images of printed text.
Classification:-Use input values to determine the classification. i.e. is the input the letter A? Data Filtering:-Smooth an input signal.
i.e. noise filtering if any.
Output:-Computer readable version of input contents.
There are several existing solutions to perform this task for English text. The potential benefits of ....etc

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A Project Report on OMNI FONT recognition in Indian language OCR

Presented by
Ravi Kant Yada
Master of Technology
Computer Science & Engineering
Guru Gobind Singh Indraprastha University
Kashmere Gate, Delhi

ABSTRACT
Most of the Indian language electronic data are Unicode encoded. Processing Unicode data is quite straight forward because it follows distinguished code ranges for each language and there is a one-to-one correspondence between characters. Hence it becomes necessary to identify the font enc ....etc

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Optical Character Recognition(OCR )



What is OCR?
OCR is the acronym for Optical Character Recognition. This technology allows a machine to
automatically recognize characters through an optical mechanism. 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. By reviewing these variables,
we can understand the challen ....etc

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UNICODE OPTICAL CHARACTER RECOGNISATION:- Unicode Optical Character Recognisation using dotnet ....etc

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I need MATLAB Code for character recognition using MATLAB AND Neural networks ....etc

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