FEATURE SELECTION AND FEATURE REDUCTION

1. FEATURE SELECTION AND
FEATURE REDUCTION

2. 3/6/2024 Department of Biomedical Engineering, SRMIST, KTR 2
IRIS SCAN IMAGE

3. 3/6/2024 Department of Biomedical Engineering, SRMIST, KTR 3
IRIS SYTEM
Pre
processing
Feature-
extraction
Identification
Verification
Stored
templates
Uniform
distribution
Reject
Accept
Iris scan image
capture
Iris
localization
Iris code comparison

4. Feature Selection
• Definition
• A process that chooses an optimal subset of features
according to a objective function
• Objectives
• To reduce dimensionality and remove noise
• To improve mining performance
• Speed of learning
• Predictive accuracy
• Simplicity and comprehensibility of mined results
4
3/6/2024 Department of Biomedical Engineering, SRMIST, KTR

5. Feature Reduction
vs.
Feature Selection
• Feature reduction
• All original features are used
• The transformed features are linear combinations of the
original features
• Feature selection
• Only a subset of the original features are selected
• Continuous versus discrete
5
3/6/2024 Department of Biomedical Engineering, SRMIST, KTR

6. Application Areas of Texture Analysis
3/6/2024 Department of Biomedical Engineering, SRMIST, KTR 6
Food processing
industry
Medical image
analysis
Biometrics analysis
(fingerprint, iris or retina,
etc.)
Global information system
(GIS) (for land, etc. analysis)