Minakshi Gogoi, RupKumar Deka, Deepjyoti Mazumdar, Rupam Das and Manasjyoti Barman, GIMT, India

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.

Independent Component Analysis, Face template, Cryptography