Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging
Vein recognition technology identifies human vein characteristics under near-infrared light and compares it with stored vein information for personal identification. Although this has high anti-counterfeiting performance, it is possible to fabricate artificial hands that simulate vein characteristic...
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doaj-a6a32a8c1c66446cb64dd1907daa12a92021-09-25T23:40:02ZengMDPI AGApplied Sciences2076-34172021-09-01118470847010.3390/app11188470Non-Contact Heart Rate Detection Based on Hand Vein Transillumination ImagingShuqiang Yang0Deqiang Cheng1Jun Wang2Huafeng Qin3Yike Liu4School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221000, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221000, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221000, ChinaSchool of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing 400067, ChinaCollege of Physical & Electronic Information, Luoyang Normal University, Luoyang 471000, ChinaVein recognition technology identifies human vein characteristics under near-infrared light and compares it with stored vein information for personal identification. Although this has high anti-counterfeiting performance, it is possible to fabricate artificial hands that simulate vein characteristics to deceive the identity authentication system. In view of this potential deficiency, we introduced heart rate information to vein authentication, a means of living body detection, which can further improve the anti-counterfeiting effect of vein authentication. A hand vein transillumination imaging experiment was designed to prove its effectiveness. In the proposed method, a near-infrared light source is used to transilluminate the hand, and the transillumination images are collected by a common camera. Then, the region of interest is selected for gray-scale image processing, the feature value of each frame is extracted by superimposing and averaging the images, and then the one-dimensional pulse wave is drawn. Furthermore, the baseline drift phenomenon is filtered by morphological methods, and the maximum percentage frequency is determined by Fast Fourier Transform, that is, the pulse wave frequency. The heart rate value is then calculated, and finally, the stability of the heart rate detection result is evaluated. The experiment shows that the method produces accurate and stable results, demonstrating that it can provide living information (heart rate value) for vein authentication, which has great application prospects and development opportunities in security systems.https://www.mdpi.com/2076-3417/11/18/8470PPGvein authenticationnon-contact heart rate detectionordinary cameratransillumination imaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shuqiang Yang Deqiang Cheng Jun Wang Huafeng Qin Yike Liu |
spellingShingle |
Shuqiang Yang Deqiang Cheng Jun Wang Huafeng Qin Yike Liu Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging Applied Sciences PPG vein authentication non-contact heart rate detection ordinary camera transillumination imaging |
author_facet |
Shuqiang Yang Deqiang Cheng Jun Wang Huafeng Qin Yike Liu |
author_sort |
Shuqiang Yang |
title |
Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging |
title_short |
Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging |
title_full |
Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging |
title_fullStr |
Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging |
title_full_unstemmed |
Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging |
title_sort |
non-contact heart rate detection based on hand vein transillumination imaging |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-09-01 |
description |
Vein recognition technology identifies human vein characteristics under near-infrared light and compares it with stored vein information for personal identification. Although this has high anti-counterfeiting performance, it is possible to fabricate artificial hands that simulate vein characteristics to deceive the identity authentication system. In view of this potential deficiency, we introduced heart rate information to vein authentication, a means of living body detection, which can further improve the anti-counterfeiting effect of vein authentication. A hand vein transillumination imaging experiment was designed to prove its effectiveness. In the proposed method, a near-infrared light source is used to transilluminate the hand, and the transillumination images are collected by a common camera. Then, the region of interest is selected for gray-scale image processing, the feature value of each frame is extracted by superimposing and averaging the images, and then the one-dimensional pulse wave is drawn. Furthermore, the baseline drift phenomenon is filtered by morphological methods, and the maximum percentage frequency is determined by Fast Fourier Transform, that is, the pulse wave frequency. The heart rate value is then calculated, and finally, the stability of the heart rate detection result is evaluated. The experiment shows that the method produces accurate and stable results, demonstrating that it can provide living information (heart rate value) for vein authentication, which has great application prospects and development opportunities in security systems. |
topic |
PPG vein authentication non-contact heart rate detection ordinary camera transillumination imaging |
url |
https://www.mdpi.com/2076-3417/11/18/8470 |
work_keys_str_mv |
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