Presentation Attack Detection using Heart Rate from Amplified Color Videos and Pulse Oximeter Information

The constantly growing digital era makes the development of biometric identification systems increasingly necessary. This situation also impulses the detection and development of vulnerabilities, for this reason, it is necessary to complement the biometric systems to improve their level of confidence. This paper presents a system to perform vitality detection using heart rate pulse from amplified color videos using Eulerian Video Magnification algorithms. An pulse oximeter is used to trigger the system and the acquired information is compared with the gathered from the videos. The result of such comparison is used to establish the vitality state of the sample. The experimental results shows that the maximum difference between the video and the pulse oximeter information does not overpass ten beats per minute (BPM) with an average of 4.466 BPM.