Paper Info
Title
An Implementation of Face Recognition System with Face Presentation Attack Detection on Raspberry Pi
Abstract
With the popularity of unlocking and payment of using the face-swiping function, the era of face recognition has arrived. However, the current face recognition technology can identify the identity of the face image but cannot accurately distinguish the authenticity of the input face on embedded devices. Recently, face recognition with face presentation attack detection has become a research hotspot. In this paper, we develop an intelligent face recognition system on Raspberry Pi to handle this issue. Specifically, we first add a face presentation attack detection process to form a three-stage face recognition method to realize face recognition with face anti-spoofing. Second, we select a face detection model, a face presentation attack detection model and a face recognition model suitable for Raspberry Pi, and transplant these models previously trained in the Python environment to the C++ environment. Then we integrate and deploy these three models on Raspberry Pi and use the NCNN inference framework for efficient reasoning within limited memory and computing resources. Finally, we implement the face recognition system and conduct real-world tests to verify the performance. The experimental results demonstrate that our system can be applied in practice, and can achieve good effects.
Year
DOI
Venue
2021
10.1109/ICEBE52470.2021.00031
2021 IEEE International Conference on e-Business Engineering (ICEBE)
Keywords
DocType
ISBN
face recognition,face presentation attack detection,Raspberry Pi
Conference
978-1-6654-4419-4
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Wenjun Wang100.34
Xiangkang Huang211.36
Xin Shu300.34
Shuping Li400.34
Huichou Huang512.04
Wu Qingyao625933.46