COURSENAME
Face Recognition using HMM with SVD Coefficients Summary I propose an approach for face recognition system based on Singular Value Decomposition (SVD) method to extract face features and Hidden Markov Model (HMM) for classification. To test the system three datasets will be used - the color FERET, SC face – Surveillance cameras face database, and CMU Multi-PIE. The system will be implemented and tested using Matlab.
Problem Statement
Manifold modern application require an accurate and robust face recognition functionality. In the presence of noise, occlusions, and dynamic change of background scene face recognition becomes a challenging problem. Majority of implementations use Principal ...
