Compressed domain ECG biometric with two-lead features

Wan-Jou Lee; Wen-Whei Chang

doi:10.1117/12.2242765

11 July 2016 Compressed domain ECG biometric with two-lead features

Wan-Jou Lee, Wen-Whei Chang

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100111A (2016) https://doi.org/10.1117/12.2242765
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

Abstract

This study presents a new method to combine ECG biometrics with data compression within a common JPEG2000 framework. We target the two-lead ECG configuration that is routinely used in long-term heart monitoring. Incorporation of compressed-domain biometric techniques enables faster person identification as it by-passes the full decompression. Experiments on public ECG databases demonstrate the validity of the proposed method for biometric identification with high accuracies on both healthy and diseased subjects.

Citation Download Citation

Wan-Jou Lee and Wen-Whei Chang "Compressed domain ECG biometric with two-lead features", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100111A (11 July 2016); https://doi.org/10.1117/12.2242765

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