Face Anti-Spoofing System using Motion and Similarity Feature Elimination under Spoof

Sunanda Gupta

doi:10.34028/iajit

Article Details

Face Anti-Spoofing System using Motion and Similarity Feature Elimination under Spoof

Authors:

Sunanda Gupta

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 5, pp.84-95

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001389539

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 From border control to mobile device unlocking applications, the practical utility of biometric system can be seriously 
compromised due face spoofing attacks. So, face recognition systems require greater attention to combating face spoofing 
attacks. As, face spoofing attacks can be easily propelled through 3D masks, video replays, and printed photos so we are 
presented face recognition system using motion and similarity features elimination under spoof attacks against the Replay Attack 
and Institute of Automation, Chinese Academy of Sciences (CASIA) databases. In this paper a calculative analysis has been done 
by firstly segmenting the foreground and background regions from the input video using Gaussion Mixture Model and secondly 
by extracting features i.e., face, eye, and nose and applied 26 image quality assessment parameters on spoof face videos under 
different illumination lighting conditions. The results attained using Replay Attack and CASIA databases are extremely 
competitive in discriminating from fake traits with paralleled viz-a-viz other approaches. Different machine learning classifiers 
and their comparative analysis with existing approaches has been shown.

Article Details

Face Anti-Spoofing System using Motion and Similarity Feature Elimination under Spoof

Authors:

Sunanda Gupta

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 5, pp.84-95

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001389539

pISSN:

2309-4524

DOI:

10.34028/iajit

Linear discriminant analysis

support vector

gaussian mixture model

image quality assessment

Issues

Article Details

Face Anti-Spoofing System using Motion and Similarity Feature Elimination under Spoof

Authors: Sunanda Gupta

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 5, pp.84-95

Document Type: Article

Publication Date: 1/2022

Document Language: English

Document ID (Org No.): 2001389539

pISSN: 2309-4524

DOI: 10.34028/iajit

Linear discriminant analysis

support vector

gaussian mixture model

image quality assessment

Issues

Authors:

Sunanda Gupta

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.19 Issue 5, pp.84-95

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001389539

pISSN:

2309-4524

DOI:

10.34028/iajit