TY - JOUR AU - Wang, Yongjin AU - Hatzinakos, Dimitrios PY - 2009 DA - 2009/10/13 TI - Sorted Index Numbers for Privacy Preserving Face Recognition JO - EURASIP Journal on Advances in Signal Processing SP - 260148 VL - 2009 IS - 1 AB - This paper presents a novel approach for changeable and privacy preserving face recognition. We first introduce a new method of biometric matching using the sorted index numbers (SINs) of feature vectors. Since it is impossible to recover any of the exact values of the original features, the transformation from original features to the SIN vectors is noninvertible. To address the irrevocable nature of biometric signals whilst obtaining stronger privacy protection, a random projection-based method is employed in conjunction with the SIN approach to generate changeable and privacy preserving biometric templates. The effectiveness of the proposed method is demonstrated on a large generic data set, which contains images from several well-known face databases. Extensive experimentation shows that the proposed solution may improve the recognition accuracy. SN - 1687-6180 UR - https://doi.org/10.1155/2009/260148 DO - 10.1155/2009/260148 ID - Wang2009 ER -