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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I want to complete up my evs project so i need some helps i want 1) objectives 2) importance 3)proposed methodology 4) observation 5) analysis 6) description of method 7) conclusion ....etc

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Please post the project on above topic.  Please help me.
Thankyou. Indira ....etc

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Abstract
Among the various traditional approaches of pattern recognition the statistical approach
has been most intensively studied and used in practice. More recently, the addition of
artificial neural network techniques theory have been receiving significant attention. The
design of a recognition system requires careful attention to the following issues: definition of
pattern classes, sensing environment, pattern representation, feature extraction and selection,
cluster analysis, classifier design and learning, selection of trai ....etc

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agud evng sir/msdam. Iam pavithra studying M.Tech production engineering. I wanna do a seminar on PATTERN RECOGNITION USING NEURAL NETWORKS.. I dont know how to relate neural network to pattern recognition and also how to code the network for the pattern we want to recognise.
Can i expect complete information on this topic? so, please send me the file ..
Thanking u ....etc

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PATTERN RECOGNITION - A STATISTICAL APPROACH
Presented By:
Vinay Kumar K 1 Bhavanishankar K2

1 Asst. Professor and HOD, Dept of CS, National Institute of Technology, Karnataka, India, E-mail:
2 II Year M.Tech, Dept of CS, National Institute of Technology, Karnataka,
ABSTRACT

The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensiv ....etc

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plz send complete seminar report for face recognition using neural network ....etc

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i need a matlab code for the neuro fuzzy based human face recognition ....etc

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Please post the project on above topic.  Please help me.
Thankyou. Indira ....etc

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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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