Realtime face matching and gender prediction based on deep learning

Thongchai Surinwarangkoon, Vinh Truong Hoang, Ali Vafaei-Zadeh, Hayder Ibrahim Hendi, Kittikhun Meethongjan


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.


face analysis; face recognition; gender prediction; image classification; information prediction; multitask cascade convolutional neural network;

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).