Seamless Payment System Using Face and Low-Energy Bluetooth

Yeongnam Chae, Kelvin Cheng, Pankaj Wasnik, Björn Stenger

CVPRW 2020 pp. 3557-3564

doi:10.1109/CVPRW50498.2020.00416 /cvprw/2020/chae2020cvprw-seamless/

Abstract

This paper introduces a multi-modal authentication approach for payments using a face image and the low energy Bluetooth (BLE) signal of a user’s device. Devices of registered users transmit temporally changing one-time identifiers. During a payment request, the query face image is only matched with database entries corresponding to nearby users, thereby significantly reducing the complexity of the task. For cases in which a user does not carry their device, the system includes a fallback mechanism to PIN-based two-factor authentication. A classifier on depth data input is used to reduce vulnerability to presentation attacks. We conducted a user study of different payment methods and demonstrated our system at a public event with 951 users.

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Cite

Text

Chae et al. "Seamless Payment System Using Face and Low-Energy Bluetooth." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020. doi:10.1109/CVPRW50498.2020.00416

Markdown

[Chae et al. "Seamless Payment System Using Face and Low-Energy Bluetooth." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020.](https://mlanthology.org/cvprw/2020/chae2020cvprw-seamless/) doi:10.1109/CVPRW50498.2020.00416

BibTeX

@inproceedings{chae2020cvprw-seamless,
  title     = {{Seamless Payment System Using Face and Low-Energy Bluetooth}},
  author    = {Chae, Yeongnam and Cheng, Kelvin and Wasnik, Pankaj and Stenger, Björn},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2020},
  pages     = {3557-3564},
  doi       = {10.1109/CVPRW50498.2020.00416},
  url       = {https://mlanthology.org/cvprw/2020/chae2020cvprw-seamless/}
}