Face Spoof Detection Techniques: A Survey

Authors

  • Ramandeep Kaur, Er. Sonia Digra

Keywords:

Face Spoof, Machine Learning, Deep Learning, Face Detection

Abstract

The face spoof detection is frequently used with various microscopic biometric modalities. Based on artificial intelligence, The face spoof detection techniques have various phases which include pre-processing, feature extraction and classification. In this paper, the different types of methods used in face spoof detection have been discussed. Various types of feature extraction algorithms are used which can be categorized as textural feature and colour feature extraction algorithms. The different schemes for the face spoof detection have been reviewed which are based on machine learning, deep learning and other general techniques. The schemes have been reviewed on basis of methodology and outcomes

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Published

2024-02-06

How to Cite

Ramandeep Kaur, Er. Sonia Digra. (2024). Face Spoof Detection Techniques: A Survey. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 13(1), 130–135. Retrieved from https://eduzonejournal.com/index.php/eiprmj/article/view/569