Volume 19, No. 5, 2022
Ethnicity Classification From Face Images, Literature Review
Zahraa Shahad Marzoog , Dr. Manal Hussein Nawir , Dr. Manal Hussein Nawir , Fatima Al Zegair
Abstract
Race classification has been a long-term challenge in the field of face recognition recently. As it is a key-demographic trait of individuals, it has been employed in real-world applications; for example, surveillance videos and online advertisement, Human-Computer Interaction, law enforcement, and demographic and biometric research. Consequently, different approaches have been suggested to tackle the race classification problems. This paper presents a literature review of state-of-art research that address the ethnic classification problem.
Pages: 190-195
Keywords: Race classification, ethnicity classification, Deep learning, Convolution Neural Network.