Secured Template Based Face Recognition Technique

摘要

Recently face recognition is attracting much attention in the society of network multimedia information access. The face recognition has been a challenging scientific problem that provides a powerful incentive for processing large volume of data automatically for authenticating people. Independent Component Analysis (ICA) is a method in which the goal is to find a linear representation of non-Gaussian data, so that the components are statistically independent, or as independent as possible. Such a representation captures the essential structure of the data in many applications, including feature extraction and signal separation. A biometric template that stores the extracted biometric features as a database is a rising concern about the security and privacy of the biometric data itself. The protection of face template is also to be considered as an issue in deploying a practical biometric system. In this paper we propose a face template protection scheme based on our cryptosystem approach.