Application of Neural Networks

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Slide 1 11-Oct-15 1 Character Input Segmentation Feature extraction Neural networks based classifier Preprocessing Basic block diagram for Neural Network based Hand Written Character Recognition Output Class Size Normalization Hand Written Character Recognition

description

Comprises applications based on image processing like pattern recognition, character recognition, face recognition

Transcript of Application of Neural Networks

Page 1: Application of Neural Networks

Slide 1

11-Oct-15 1

Character

Input Segmentation

Feature extraction

Neural networks based classifier

Preprocessing

Basic block diagram for Neural Network based

Hand Written Character Recognition

Output Class

Size Normalization

Hand Written Character Recognition

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Hand Written Character Recognition

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The Averaged Pixel Method for input size reduction

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Hand Written Character Recognition

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The Normalized Contour Analysis Method for input size reduction (Probing Method)

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Image

Input Face Alignment

Feature extraction

Neural networks based classifier

Preprocessing

(Image filter, Enhancement)

Basic block diagram for Neural Network based

Face Recognition

Output Class

Size Normalization

Face Recognition

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Data base collection and Feature extraction

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Feature Extraction

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Example of 68 points defining facial features.

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The Topology of RBF

Feature Vectors x1 x2 xn

y1 ym

Inputs

Hidden Units

Output Units

Subclasses (Cluster)

Classes

As a pattern classifier.

wkm

Vnk

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Classification Boundaries in MLP and RBF

• MLP NN classifier • RBF NN classifier

MLP NN RBF NN