Abstract
Different biometric traits such as face appearance and heartbeat signal from Electrocardiogram (ECG)/Phonocardiogram (PCG) are widely used in the human identity recognition. Recent advances in facial video based measurement of cardio-physiological parameters such as heartbeat rate, respiratory rate, and blood volume pressure provide the possibility of extracting heartbeat signal from facial video instead of using obtrusive ECG or PCG sensors in the body. This paper proposes the Heartbeat Signal from Facial Video (HSFV) as a new biometric trait for human identity recognition, for the first time to the best of our knowledge. Feature extraction from the HSFV is accomplished by employing Radon transform on a waterfall model of the replicated HSFV. The pairwise Minkowski distances are obtained from the Radon image as the features. The authentication is accomplished by a decision tree based supervised approach. The potential of the proposed HSFV biometric for human identification is demonstrated on a public database.
| Original language | English |
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| Title of host publication | Image Analysis : 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings |
| Number of pages | 12 |
| Publisher | Springer |
| Publication date | 2015 |
| Pages | 165-174 |
| ISBN (Print) | 978-3-319-19664-0 |
| ISBN (Electronic) | 978-3-319-19665-7 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | Scandinavian Conference on Image Analysis - Copenhagen, Denmark Duration: 15 Jun 2015 → 17 Jun 2015 Conference number: 19 |
Conference
| Conference | Scandinavian Conference on Image Analysis |
|---|---|
| Number | 19 |
| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 15/06/2015 → 17/06/2015 |
| Series | Lecture Notes in Computer Science |
|---|---|
| Volume | 9127 |
| ISSN | 0302-9743 |
Keywords
- biometric
- identification
- Radon transform
- heartbeat
- facial video