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Proceedings Paper

Compressed domain ECG biometric with two-lead features
Author(s): Wan-Jou Lee; Wen-Whei Chang
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Paper 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.

Paper Details

Date Published: 11 July 2016
PDF: 6 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100111A (11 July 2016); doi: 10.1117/12.2242765
Show Author Affiliations
Wan-Jou Lee, National Chiao-Tung Univ. (Taiwan)
Wen-Whei Chang, National Chiao-Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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