Realtime face matching and gender prediction based on deep learning

Thongchai Surinwarangkoon (Suan Sunandha Rajabhat University)
Vinh Truong Hoang (Ho Chi Minh City Open University)
Ali Vafaei-Zadeh (Universiti Sains Malaysia)
Hayder Ibrahim Hendi (University of Thi Qar)
Kittikhun Meethongjan (Suan Sunandha Rajabhat University)

International Journal of Electrical and Computer Engineering
Vol 13, No 4: August 2023

Face analysis is an essential topic in computer vision that dealing with human faces for recognition or prediction tasks. The face is one of the easiest ways to distinguish the identity people. Face recognition is a type of personal identification system that employs a person’s personal traits to determine their identity. Human face recognition scheme generally consists of four steps, namely face detection, alignment, representation, and verification. In this paper, we propose to extract information from human face for several tasks based on recent advanced deep learning framework. The proposed approach outperforms the results in the state-of-the-art.