tailieunhanh - Báo cáo hóa học: " Research Article Analysis of Human Electrocardiogram for Biometric Recognition"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Analysis of Human Electrocardiogram for Biometric Recognition | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 148658 11 pages doi 2008 148658 Research Article Analysis of Human Electrocardiogram for Biometric Recognition Yongjin Wang Foteini Agrafioti Dimitrios Hatzinakos and Konstantinos N. Plataniotis The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King s College Road Toronto ON Canada M5S 3G4 Correspondence should be addressed to Yongjin Wang ywang@ Received 3 May 2007 Accepted 30 August 2007 Recommended by Arun Ross Security concerns increase as the technology for falsification advances. There are strong evidences that a difficult to falsify biometric trait the human heartbeat can be used for identity recognition. Existing solutions for biometric recognition from electrocardiogram ECG signals are based on temporal and amplitude distances between detected fiducial points. Such methods rely heavily on the accuracy of fiducial detection which is still an open problem due to the difficulty in exact localization of wave boundaries. This paper presents a systematic analysis for human identification from ECG data. A fiducial-detection-based framework that incorporates analytic and appearance attributes is first introduced. The appearance-based approach needs detection of one fiducial point only. Further to completely relax the detection of fiducial points a new approach based on autocorrelation AC in conjunction with discrete cosine transform DCT is proposed. Experimentation demonstrates that the AC DCT method produces comparable recognition accuracy with the fiducial-detection-based approach. Copyright 2008 Yongjin Wang et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Biometric recognition provides airtight security .