face recognition using neural network seminar report pdf

Abstract
A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships . In the broader sense, a neural network is a collection of mathematical models that emulate some of the observed properties of biological nervous systems and draw on the analogies of adaptive biological learning.

It is composed of a large number of highly interconnected processing elements that are analogous to neurons and are tied together with weighted c ....etc

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http://seminarsprojects.net/Thread-optical-character-recognition-using-neural-networks?pid=54739&mode=threaded

http://seminarsprojects.net/Thread-character-recognition-using-artificial-neural-network

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i would like to get a copy of seminar report or the ppt of the topic digital recognition using neural networks ....etc

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The idea is to train a Neural network to recognize a set of human voices(known patterns) and then translate them in to commands.The training can be done using back propagation training algorithm. The network thus trained should be able to recognize a set of voice frequencies.
The voice can then be used as a password in conjunction with other input like finger print. ....etc

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To get full information or details of neural network source code arabic character recognition please have a look on the pages

http://seminarsprojects.net/Thread-digit-recognition-using-neural-network?pid=18323&mode=threaded

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to get information about the topicdigit recognition using neural networkrefer the page link bellow
http://seminarsprojects.net/Thread-digit-recognition-using-neural-network

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To get full information or details of handwritten english character recognition using neural network please have a look on the pages

http://seminarsprojects.net/Thread-character-recognition-using-artificial-neural-network

http://seminarsprojects.net/Thread-character-recognition-in-a-hand-written-document-image

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FACE RECOGNITION USING Neural Network
ABSTRACT
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 als ....etc

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Abstract
Handwriting number recognition is a challenging problem that researchers have been bogging into for many years. The need for this arises in situations like checks in banks or recognizing numbers in car plates. There is a lot of need for a system that to let the computer understand the Arabic numbers that is written manually and also handles it like digital data. Methods like minimum distance,
decision tree and statistics have been developed by many researchers. The proposed system starts by acquiring an image containing digits ....etc

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How to pick the winning numbers in lottery and gambling



Introducing completely a new concept in picking the winning combinations or numbers in lottery, Lotto, and in similar gambling events at maximum certainty and probability levels there by minimizing the number of tickets they would actually need to purchase and It improves the numerical odds of picking winning lottery numbers and effectively saves money compared to all the other leading lottery number pickers. The lottery is a random game of chance., it's gambling. So, what? It's ....etc

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