Presentation Attack Detection for Face Recognition on Smartphones: A Comprehensive Review

Authors

  • Idris Abdul Ghaffar Embedded Computing Systems (EmbCos) Research Group, Biomedical Modelling and Simulation (BIOMEMS) Research Group, Faculty of Electrical and Electronics Engineering, University Tun Hussien Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • Mohd Norzali Haji Mohd Embedded Computing Systems (EmbCos) Research Group, Biomedical Modelling and Simulation (BIOMEMS) Research Group, Faculty of Electrical and Electronics Engineering, University Tun Hussien Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia

Keywords:

Anti-spoofing, Face Recognition, Presentation Attack Countermeasures, Presentation Attack Detection,

Abstract

Even though the field of Face Presentation Attack Detection (PAD) has been around for quite a long time, but still it is quite a new field to be implemented on smartphones. Implementation on smartphones is different because the limited computing power of the smartphones when compared to computers. Presentation Attack for a face recognition system may happen in various ways, using photograph, video or mask of an authentic user’s face. The Presentation Attack Detection system is vital to counter those kinds of intrusion. Face presentation attack countermeasures are categorized as sensor level or feature level. Face Presentation Attack Detection through the sensor level technique involved in using additional hardware or sensor to protect recognition system from spoofing while feature level techniques are purely software-based algorithms and analysis. Under the feature level techniques, it may be divided into liveness detection; motion analysis; face appearance properties (texture analysis, reflectance); image quality analysis (image distortion); contextual information; challenge response. There are a few types of research have been done for face PAD on smartphones. They also have released the database they used for their testing and performance benchmarking.

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Published

2017-11-30

How to Cite

Abdul Ghaffar, I., & Haji Mohd, M. N. (2017). Presentation Attack Detection for Face Recognition on Smartphones: A Comprehensive Review. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-8), 33–38. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3095

Issue

Vol. 9 No. 3-8: Recent Trend in Electronic, Computing and Communication

Section

Articles

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