Neuro-fuzzy model for estimating race and gender from geometric distances of human face across pose

• Main Authors: Nanaa, K, Rahman, M.N.A., Rizon, M., Mohamad, F.S., Mamat, M.
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2018
• Subjects: QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://eprints.unisza.edu.my/1715/1/FH03-FIK-18-13685.jpg; http://eprints.unisza.edu.my/1715/2/FH03-FIK-19-23938.pdf; http://eprints.unisza.edu.my/1715/

Classifying human face based on race and gender is a vital process in face recognition. It contributes to an index database and eases 3D synthesis of the human face. Identifying race and gender based on intrinsic factor is problematic, which is more fitting to utilizing nonlinear model for estimat...