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