Biometrics Evaluation Centre (BEZ)

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BEZ (ISF)

Development of New Biometric Security Technologies at the BEZ

3D-Kamera_Biometrie-Evaluations-Zentrum (BEZ)
Biometric modalities are becoming more and more common for security applications, for example in border control systems. In order to ensure the security of these biometric systems, continuous improvements and Presentation Attack Detection (PAD) methods are required. In the following, two approaches are presented, which are investigated at the BEZ.
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NIR-PAD: Skin Detection for Multiple Modalities


Biometric features are often presented on skin. Therefore, reliable skin detection is essential to identify fakes, such as masks, and to prevent spoofing of biometric systems. By measuring its optical properties, skin can be verified reliably due to its specific remission spectrum. In the near-infrared (NIR) waveband, the extracted features are independent of skin type.

In order to generate ground-truth data, the remission spectrum of participants is measured using two spectrometers measuring the spectrum in the near infra-red and the visible waveband. New biometric systems could use the data as a reference for automated skin detection. In addition, the performance of existing systems could be evaluated with this dataset as a standard reference.

Moreover, the reflection depends on the incident and detection angle of light. With a specifically designed device, the reflection is measured on varying incident angles and probe orientations using a monochrome camera and several RGBW LEDs. These data can be used to improve skin-detection systems and to refine the skin of synthetic characters, making them appear more realistic.

BEZ-BIOLAB-Fälschungserkennung mit 3D-Kamera

3D-Face Presentation Attack Detection


As the face is one of the most important biometric traits, 3D data about the presented face enables new developments in mask detection or person authentication. One promising technology in this regard is the 3D time-of-flight (ToF) technology. A 3D ToF camera illuminates the scene with a high-speed modulated light source. A ToF-specific image sensor is able to measure the time of flight on pixel level and the distance is calculated from this data in a post-processing step. With this data, a high-resolution 3D shape of the face can be generated. 

This data can be used to detect artefacts, such as mobile devices displaying a photo, that are used to spoof the biometric system. Moreover, the alignment of other biometric sensors or guidance of the person using the biometric system is possible.