Compressed Domain ECG Biometric with Two-Lead Features

doi:10.1117/12.2242765

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Lee, Wan-Jou	en_US
dc.contributor.author	Chang, Wen-Whei	en_US
dc.date.accessioned	2019-04-03T06:48:01Z	-
dc.date.available	2019-04-03T06:48:01Z	-
dc.date.issued	2016-01-01	en_US
dc.identifier.isbn	978-1-5106-0431-5	en_US
dc.identifier.issn	0277-786X	en_US
dc.identifier.uri	http://dx.doi.org/10.1117/12.2242765	en_US
dc.identifier.uri	http://hdl.handle.net/11536/134586	-
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.subject	ECG Biometric	en_US
dc.subject	Data Compression	en_US
dc.subject	JPEG2000 Image Coding Standard	en_US
dc.title	Compressed Domain ECG Biometric with Two-Lead Features	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.doi	10.1117/12.2242765	en_US
dc.identifier.journal	FIRST INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION	en_US
dc.citation.volume	0011	en_US
dc.citation.spage	0	en_US
dc.citation.epage	0	en_US
dc.contributor.department	電信工程研究所	zh_TW
dc.contributor.department	Institute of Communications Engineering	en_US
dc.identifier.wosnumber	WOS:000381889100046	en_US
dc.citation.woscount	0	en_US
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