Computational Intelligence and Pattern Recognition Research http:www'int'gu'edu'aumblum

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Computational Intelligence and Pattern
Recognition Researchhttp//www.int.gu.edu.au/mb
lum/

• Presented by
• John Thornton
• (on behalf of Michael Blumenstein)

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Research Areas

• Computational Intelligence
• Artificial Neural Networks
• Evolutionary Algorithms
• Fuzzy Techniques
• Pattern Recognition

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Neural Network Overview
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Research Projects

• Handwriting Recognition

Figure 1. Sample Handwriting

• Applications include
• Bank cheque processing
• Postal address recognition
• Form processing
• Automated exam assessment
• Creating digital databases

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Handwriting Recognition (cont.)

• Off-line
• Segmentation of Cursive Handwriting
• Feature Extraction
• Character Recognition
• On-line
• Combining on-line and off-line features

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Fusion of Multiple Experts

• Figure 2. Information taken from features
  surrounding proposed segmentation points
• Outcome of fusion yields final segmentation result

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Overview of Segmentation Technique
Figure 2. Neural-based segmentation
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Modified Direction Feature

• Figure 3. MDF Processing procedure Blumenstein
  et al. (2007)

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Formation of Location Transition (LT) Feature
Vector Components

• Figure 4. Extraction of LT feature

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Formation of Direction Transition (DT) Feature
Vector Components

• Figure 5. Extraction of DT feature

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Biometrics Signature Verification
Figure 6. Off-line Signature Verification System
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Off-line Signature Identification and
Verification (cont.)
Figure 7. Signature Database
Figure 8. Feature extraction
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Object Detection in Beach Scenes using neural
techniques

• Beach imagery can provide important information
  for tourism and beach safety

Figure 9. Beach Scene
Figure 10. Segmentation of Beach Image
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Object Detection and behaviour identification
(cont.)
Figure 11. Person-object tracking and behaviour
monitoring
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Coastal Management

• Prediction of beach conditions based on image
  analysis and neural techniques
• For assisting life guards
• Predicting wave conditions for surfers

Figure 12. Vertical camera view of beach site
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Biological Neuron Classification

• Neural networks and pattern recognition for
  classifying types of biological neurons

Figure 13. Cerebellar neurons and astrocytes
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Questions?

• Contact Michael Blumenstein at
• M.Blumenstein_at_griffith.edu.au
• Or visit the website below for information on
• Honours, Masters by Research or PhD projects