Distributed Source Coding for Secure ECG Authentication

• Main Authors: Liu, Yao-Peng, 劉耀蓬
• Other Authors: Chang, Wen-Whei
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/74799244305162650543

碩士 === 國立交通大學 === 電信工程研究所 === 103 === In recent years, Electrocardiogram (ECG) has been proposed as a new biometric modality for human authentication and access control. ECGs are often compressed for efficient transmission and storage purposes and therefore, incorporation of compressed domain ECG biometric is preferred as it by-passes the full decompression. To further secure the biometric data, we present a new biometric storage system using low-density parity-check (LDPC) codes in distributed source coding (DSC) framework. We start with the direct feature extraction from the compressed ECG images in JPEG2000 format. Biometric features are then subject to DSC encoding to compute syndrome bits, which have certain advantages over original features in terms of security and memory size. When combined with the side information at the DSC decoder, the syndrome bits provides robust biometric authentication for genuine users and guards against attacks from imposers. Experiments on the QT and Fantasia databases demonstrate the validity of the proposed system with high accuracies for human authentication.