Features extraction techniques, classifiers, speech speaker recognition, image recognition.
M.Sc. in Electronics and Communications Engineering
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| content serial | Description |
|---|
| 1 | Introduction to pattern recognition |
| 2 | Approaches for Pattern recognition (connectionist) |
| 3 | Approaches for Pattern recognition (statistical) |
| 4 | Approaches for Pattern recognition (syntactic) |
| 5 | Pattern preprocessing (segmentation) |
| 6 | Feature extraction |
| 7 | Feature extraction / 7th week evaluation. |
| 8 | Feature selection |
| 9 | Pattern classification |
| 10 | Machine learning Supervised learning |
| 11 | Machine learning Unsupervised learning |
| 12 | Machine learning Unsupervised learning / 12th week evaluation |
| 13 | Post-processing |
| 14 | Theory of biometric recognition techniques |
| 15 | Traditional classifiers of biometric recognition techniques |
| 16 | Final Examination |
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