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Title: Digit Recognition using Neural Network
Page Link: Digit Recognition using Neural Network -
Posted By: seminar projects crazy
Created at: Wednesday 28th of January 2009 04:09:41 PM
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Handwritten digit recognition is the process of recognizing and classifying handwritten digits without human interaction. Its application field is very wide, for example Postal code recognition (Automatic sorting of mail by destination ZIP code), Digitizing hand written spreadsheets, tax forms etc. Patterns slightly shifted, distorted and even overwritten can be correctly recognized. Neural network aids in efficient recognition. A Multilayer Neural network trained with ?Backpropagation ?algorithm is used. Kirsch masks are adopted for extracting ....etc

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Title: Digit recognition using neural network
Page Link: Digit recognition using neural network -
Posted By: vishala.gavi
Created at: Tuesday 09th of February 2010 07:59:39 PM
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Title: CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORK
Page Link: CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORK -
Posted By: seminar class
Created at: Saturday 30th of April 2011 05:15:17 PM
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INTRODUCTION
One of the classical applications of Artificial Neural Network is Noisy Character Recognition. Character Recognition finds its applications in a number if area, such as in banking, security products, hospitals, evaluations of examination papers, answer sheets and even in robotics.
In this project we aim to design and implement a neural network for performing character recognition. Because of the great flexibility in MATLAB’s Neural Network Toolbox, we will be using it for the whole implementation.
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Title: FACE RECOGNITION USING Neural Network
Page Link: FACE RECOGNITION USING Neural Network -
Posted By: computer science crazy
Created at: Sunday 22nd of February 2009 01:11:21 AM
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Faces represent complex, multidimensional, meaningful visual stimuli
and developing a computational model for face recognition is difficult
. We present a hybrid neural network solution which compares
favorably with other methods. The system combines local image sampling,
a self-organizing map neural network, and a convolutional neural
network. The self-organizing map provides a quantization of the image
samples into a topological space where inputs that are nearby in the
original space are also nearby in the output space, thereby pr ....etc

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Title: Digit recognition using neural network
Page Link: Digit recognition using neural network -
Posted By: poon@m
Created at: Sunday 08th of January 2012 03:10:15 AM
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Title: digital recognition using neural network ppt
Page Link: digital recognition using neural network ppt -
Posted By:
Created at: Saturday 01st of March 2014 07:26:58 PM
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Title: Digit Recognition using Neural Network
Page Link: Digit Recognition using Neural Network -
Posted By: Electrical Fan
Created at: Saturday 14th of November 2009 07:33:37 PM
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Handwritten digit recognition is the process of recognizing and classifying handwritten digits without human interaction. Its application field is very wide, for example Postal code recognition (Automatic sorting of mail by destination ZIP code), Digitizing hand written spreadsheets, tax forms etc. Patterns slightly shifted, distorted and even overwritten can be correctly recognized. Neural network aids in efficient recognition. A Multilayer Neural network trained with Backpropagation algorithm is used. Kirsch masks are adopted for extracting f ....etc

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Title: FACE RECOGNITION USING Neural Network
Page Link: FACE RECOGNITION USING Neural Network -
Posted By: SHARMILAA
Created at: Tuesday 16th of February 2010 03:13:13 PM
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Title: digit recognition using neural network and its applications
Page Link: digit recognition using neural network and its applications -
Posted By: pravitha
Created at: Saturday 15th of October 2011 12:58:03 PM
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