Evaluating and Enhancing Face Anti-Spoofing Algorithms for Light Makeup: A General Detection Approach

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 24; p. 8075
• Main Authors: Lai, Zhimao, Guo, Yang, Hu, Yongjian, Su, Wenkang, Feng, Renhai
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.12.2024
• Subjects: Algorithms; Automated Facial Recognition - methods; Biometry; Comparative analysis; Cosmetics; Databases, Factual; Deep learning; deep neural network; Face; face anti-spoofing; Fraud; general detection; Holidays & special occasions; Humans; Image Processing, Computer-Assisted - methods; Light; makeup transfer; metric learning; Supervision; China; face anti-spoofing; metric learning; general detection; deep neural network; makeup transfer

Makeup modifies facial textures and colors, impacting the precision of face anti-spoofing systems. Many individuals opt for light makeup in their daily lives, which generally does not hinder face identity recognition. However, current research in face anti-spoofing often neglects the influence of li...