Compressed domain ECG biometric identification using JPEG2000

Yi Ting Wu, Hung Tsai Wu, Wen-Whei Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In wireless telecardiology applications, electrocardiogram (ECG) signals are often represented in compressed format for efficient transmission and storage purposes. Incorporation of compressed ECG based biometric enables faster person identification as it by-passes the full decompression. This study presents a new method to combine ECG biometrics with data compression within a common JPEG2000 framework. To this end, ECG signal is considered as an image and the JPEG2000 standard is applied for data compression. Features relating to ECG morphology and heartbeat intervals are computed directly from the compressed ECG. Different classification approaches are used for person identification. Experiments on standard ECG databases demonstrate the validity of the proposed system for biometric identification with high accuracies on both healthy and diseased subjects.

Original languageEnglish
Title of host publicationSIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015
EditorsMohammad S. Obaidat, Pascal Lorenz, Enrique Cabello
PublisherSciTePress
Pages5-13
Number of pages9
ISBN (Electronic)9789897581182
DOIs
StatePublished - 1 Jan 2015
Event12th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2015 - Colmar, Alsace, France
Duration: 20 Jul 201522 Jul 2015

Publication series

NameSIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015

Conference

Conference12th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2015
CountryFrance
CityColmar, Alsace
Period20/07/1522/07/15

Keywords

  • ECG biometric
  • JPEG2000
  • Person identification

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  • Cite this

    Wu, Y. T., Wu, H. T., & Chang, W-W. (2015). Compressed domain ECG biometric identification using JPEG2000. In M. S. Obaidat, P. Lorenz, & E. Cabello (Eds.), SIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015 (pp. 5-13). (SIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015). SciTePress. https://doi.org/10.5220/0005499500050013