With the growing use of face recognition in security and video control domain

there are growing concern about security and privacy of biometrics data. This paper proposes a security algorithm about face feature

which bases on the SIFT feature and random projection. Because the SIFT features are invariant to image rotation

scale and change in illumination，feature extraction is first performed on face images by SIFT algorithm. The SIFT features are transformed using invertible transformation which is generated by user specific key. All the above successive procedures produce the cancelable and non-invertible template feature data

which can achieve the protection of face data. In extensive experiments with publicly available face datasets CMU

AR and Feret

higher recognition accuracy is reached

which demonstrates that the proposed approach is not only able to protect the face data

but also robust to various complex conditions

such as changes in the pose

occlusions and expression

etc.