Application of Neural Networks
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Transcript of 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
Slide 2
Hand Written Character Recognition
11-Oct-15 2
The Averaged Pixel Method for input size reduction
Slide 3
Hand Written Character Recognition
11-Oct-15 3
The Normalized Contour Analysis Method for input size reduction (Probing Method)
Slide 4
11-Oct-15 4
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
Slide 5
Data base collection and Feature extraction
Slide 6
Feature Extraction
11-Oct-15 6
Example of 68 points defining facial features.
Slide 7
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
Slide 8
Classification Boundaries in MLP and RBF
• MLP NN classifier • RBF NN classifier
MLP NN RBF NN