Explore MATLAB source code curated for "ORL" with clean implementations, documentation, and examples.
This code is designed for face recognition applications and can be tested and utilized on standard face databases including ORL, Yale, and AR. The implementation incorporates feature extraction and matching algorithms to compare input facial images against database templates.
Sparse representation-based face recognition using the ORL database, containing 40 subjects with 10 images each. The implementation randomly selects training samples while using the remaining images as test samples. The final recognition accuracy is calculated as the average of 20 independent trials to ensure statistical reliability.