BibTeX:

@article{IJIRSTV1I9016,
     title={Robust Face Recognition for Uncontrolled Environment},
     author={Dr.P.Latha, N.Meffiya and Baby.D.Dayana},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={9},
     pages={133--141},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I9016.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The aim of this project is face recognition from constraint environment. In this constraint environment various occlusion, different pose variation are exist. Robust Face recognition is needed today, for constrained environment because it used in ATM access, personal identification, Reliable face recognition system mainly depend upon method used for feature extraction and classification. The method used for feature extraction is Eigen Faces and also Sparse Representation based Classification is used .In this Sparse Representation based classification, l1 minimization algorithm is used. Sparse Representation based classification, represent the testing sample as the linear combination of all training sample B=AX, then classify the test sample by evaluating which class leads to minimum sparse representation error. This Sparse Representation based Classification gives best performance for constraint environment with 98% acceptance ratio. SRC based classification is robust to occlusion and gives high recognition rate.

Constrained Environment, SRC