Iris Recognition MATLAB Implementation from University of Cambridge
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Resource Overview
This iris recognition MATLAB program, sourced from the University of Cambridge, implements advanced biometric algorithms including iris segmentation, normalization, and feature encoding using Gabor filters to create unique iris templates for identification.
Detailed Documentation
This valuable iris recognition MATLAB implementation originates from the world-renowned University of Cambridge. The codebase features sophisticated image processing techniques including:
- Iris localization using circular Hough transforms for pupil and iris boundary detection
- Daugman's rubber sheet model for iris normalization into fixed dimensions
- 2D Gabor filter banks for feature extraction and encoding
- Hamming distance calculations for matching iris templates
Obtained through significant effort, this resource provides researchers with a comprehensive reference implementation demonstrating proven iris recognition methodologies. The shared code includes complete workflow from image preprocessing to matching decision, offering practical insights into biometric system development.
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