Biometric Identification Using Facial Motion Amplification

We propose a new biometric trait based on facial motion amplification. The main advantage of the new biometric characteristic is that it does not rely on the visibility of critical facial features, such as nose, mouth, iris, or eyebrows. This makes it effective even when the respective areas are covered. Using the proposed system, facial image sequences are captured using an ordinary video camera and facial blood flow is calculated by means of small motion amplification. The calculated blood flow is captured from limited facial areas and is represented as a template that is suitable for identification purposes. Experiments on a new database show promising performance of the proposed approach, and provide evidence of the discriminatory capacity of the proposed biometric.