LBP-based biometric hashing scheme for human authentication

Biometric hash finds extensive applications in multimedia security systems. Biometric hashing schemes combine biometric features with random numbers for robust and secure human authentication or recognition. A novel biometric hashing scheme which is secure and robust to lighting changes is proposed in this paper. First, the local binary pattern (LBP) based histogram sequence or vector is employed to represent a normalized face image. Secondly, the pseudorandom sequence is generated by using the user specific secret seed (hash key) and it is orthonormalized by using Gram-Schmidt algorithm. Third, the inner product between the histogram vector and pseudorandom sequence is computed. The biometric hash is obtained by thresholding the inner product with the threshold calculated by using Otsu method. Our scheme is tested on the face image data. Hamming distance is used to measure the performance of the scheme. Experimental results show that our scheme is secure and robust to lighting changes.