Patient identification using a near-infrared laser scanner

Manit, Jirapong and Bremer, Christina and Schweikard, Achim and Ernst, Floris (2017) Patient identification using a near-infrared laser scanner. Proceedings of SPIE, 10135. ISSN 0277-786X

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Official URL: 10.1117/12.2254963


We propose a new biometric approach where the tissue thickness of a person's forehead is used as a biometric feature. Given that the spatial registration of two 3D laser scans of the same human face usually produces a low error value, the principle of point cloud registration and its error metric can be applied to human classification techniques. However, by only considering the spatial error, it is not possible to reliably verify a person's identity. We propose to use a novel near-infrared laser-based head tracking system to determine an additional feature, the tissue thickness, and include this in the error metric. Using MRI as a ground truth, data from the foreheads of 30 subjects was collected from which a 4D reference point cloud was created for each subject. The measurements from the near-infrared system were registered with all reference point clouds using the ICP algorithm. Afterwards, the spatial and tissue thickness errors were extracted, forming a 2D feature space. For all subjects, the lowest feature distance resulted from the registration of a measurement and the reference point cloud of the same person. The combined registration error features yielded two clusters in the feature space, one from the same subject and another from the other subjects. When only the tissue thickness error was considered, these clusters were less distinct but still present. These findings could help to raise safety standards for head and neck cancer patients and lays the foundation for a future human identification technique.

Item Type:
Journal Article
Journal or Publication Title:
Proceedings of SPIE
Additional Information:
Jirapong Manit, Christina Bremer, Achim Schweikard, Floris Ernst, "Patient identification using a near-infrared laser scanner," Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101352L (3 March 2017) Copyright 2017 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited.
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15 Jan 2019 10:20
Last Modified:
26 May 2024 00:05