Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : An effective biometric discretization approach to extract highly discriminative, informative, and privacy-protective binary representation | Lim and Teoh EURASIP Journal on Advances in Signal Processing 2011 2011 107 http content 2011 1 107 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access An effective biometric discretization approach to extract highly discriminative informative and privacy-protective binary representation Meng-Hui Lim and Andrew Beng Jin Teoh Abstract Biometric discretization derives a binary string for each user based on an ordered set of biometric features. This representative string ought to be discriminative informative and privacy protective when it is employed as a cryptographic key in various security applications upon error correction. However it is commonly believed that satisfying the first and the second criteria simultaneously is not feasible and a tradeoff between them is always definite. In this article we propose an effective fixed bit allocation-based discretization approach which involves discriminative feature extraction discriminative feature selection unsupervised quantization quantization that does not utilize class information and linearly separable subcode LSSC -based encoding to fulfill all the ideal properties of a binary representation extracted for cryptographic applications. In addition we examine a number of discriminative feature-selection measures for discretization and identify the proper way of setting an important feature-selection parameter. Encouraging experimental results vindicate the feasibility of our approach. Keywords biometric discretization quantization feature selection linearly separable subcode encoding 1. Introduction Binary representation of biometrics has been receiving an increased amount of attention and demand in the last decade ever since biometric security schemes were widely proposed. Security applications such as biometric-based cryptographic key generation schemes 1-7 and biometric template protection schemes 8-13 require biometric features to be present in .
