A Secure Face Recognition Algorithm Based on Adaptive Non-uniform Quantization

With the development of face recognition technology, some privacy and security problems arise. Principal component analysis (PCA); is one of the popular approaches for face recognition. Aiming at the leakage for the security of PCA, this paper proposes a secure face recognition algorithm based on adaptive non-uniform quantization (ANUQ) which quantizes the template feature obtained by PCA and stores the hash value of the quantization feature instead of the template feature. Experimental results show this algorithm improves the security of the system while the accuracy is the same as PCA.