Face Recognition Using Machine Learning

Dear Colleagues,

Biometric systems aim to measure and analyse the unique physical or behavioral traits or characteristics of an individual. The main idea of a biometric system is the use of human structures reflecting distinctive characteristics. The human face is one of the main biometric traits which has found many real-world applications including military, finance, public security, law enforcement, health, education, marketing, entertainment, and human–computer interaction. The human face conveys information about a human’s identity, gender, age, race and emotions. The analysis of the human face data is not solely computer science research but is also an interdisciplinary field of research that involves psychology, neuroscience, and engineering. One of the main challenges of the face recognition problem in the adoption environments is that the information involved is usually complex and variable in practice. This is because of head pose, age, illumination, appearance change (due to make-up, using accessories (e.g., glasses, scarves), or facial hair), as well as similarity among individuals (e.g., relatives, twins).

The purpose of this Special Issue is to gather papers that define the advancement of face recognition using machine learning and their services and challenges. We are seeking the latest original contributions that have not been published elsewhere and are not currently under review by any other journal or conference. The potential topics of interest include, but are not limited to, the following:

• Face recognition using machine learning;
• Face recognition using deep learning;
• Face recognition for access control systems;
• Face recognition for biometric authentication;
• Privacy preserving face recognition systems/methods;
• Face recognition in education;
• Face recognition in healthcare education;
• Detection of face recognition attacks;
• Face recognition in military;
• Face recognition in marketing;
• Bio-inspired optimization for face recognition;
• Security issues in face recognition systems/methods;
• Masked face recognition

Dr. Tarek Gaber
Prof. Dr. Rania Hodhod
Dr. Anastasia Angelopoulou
Dr. Mohamed Meselhy Eltoukhy
Guest Editors

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