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Single-Camera Vision-Based Vein Biometric Authentication and Heart Rate Monitoring via Infrared Imaging Analysis

  • Jae Hyun Han
  • Jinman Kim
  • Eui Chul Lee
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

In this study, a feasibility test is performed to evaluate simultaneous heart rate measurement and individual identification via a single device. Thus, we have designed a novel device, comprising a modified webcam and 660 and 940 nm LEDs, as based on the principles of a conventional blood flow measurement sensor. To confirm the feasibility, we captured three types of images via respective employment of the following: 660 nm LEDs only, 940 nm LEDs only, and both 660 and 940 nm LEDs. A PPG (photoplethysmography) signal is acquired as the images are captured; the output is implemented as ground-truth data. Experimental results showed that the image analysis-based heart rate signal yields a pattern identical to that of a PPG signal. Additionally, acquired finger-vein image visibility and resolution is sufficient to perform finger-vein recognition. Testing the system using more than 100 subjects with variable health statuses confirmed that our proposed concept can be implemented as an effective heart rate monitoring system. The proposed method has the potential to significantly increase the efficiency of individual health information management.

Keywords

Biometric Heartrate measurement Photoplethysmography Finger vein recognition Infrared imaging 

Notes

Acknowledgement

This study was funded by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (grant number NRF-2016R1C1B2014345). Also, this work was supported by the Industrial Strategic Technology Development Program (10073159, Developing mirroring expression based interactive robot technique by non-contact sensing and recognizing human intrinsic parameter for emotion healing through heart-body feedback) funded By the Ministry of Trade, industry & Energy (MI, Korea).

References

  1. 1.
    Drinnan, M.J., Allen, J., Murray, A.: Relation between heart rate and pulse transit time during paced respiration. Physiol. Meas. 22(3), 425–432 (2001)CrossRefGoogle Scholar
  2. 2.
  3. 3.
    Chiodi, H., Mohler, J.G.: Effects of exposure of blood hemoglobin to nitric oxide. Environ. Res. 37(2), 355–363 (1985)CrossRefGoogle Scholar
  4. 4.
    Kelleher, J.F.: Pulse oximetry. J. Clin. Monit. Comput. 5(1), 37–62 (1989)CrossRefGoogle Scholar
  5. 5.
    Lee, E.C., Lee, H.C., Park, K.R.: Finger vein recognition by using minutiae based alignment and LBP based feature extraction. Int. J. Imaging Syst. Technol. 19, 179–186 (2009)CrossRefGoogle Scholar
  6. 6.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, Englewood Cliffs (1992)Google Scholar
  7. 7.
    Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28, 2037–2041 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science, Graduate SchoolSangmyung UniversitySeoulRepublic of Korea
  2. 2.Research Institute for Intelligent Engineering InformaticsSangmyung UniversitySeoulRepublic of Korea
  3. 3.Department of Intelligent Engineering Informatics for HumanSangmyung UniversitySeoulRepublic of Korea

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