The impact of bio-inspired approaches toward the advancement of face recognition

Bisan Alsalibi, Ibrahim venkat

Abstract:

Anincreased number of bio-inspired face recognition systems have emerged in recent decades owing to their
intelligent problem-solving ability, flexibility, scalability, and adaptive nature. Hence, this survey aims to
present a detailed overview of bio-inspired approaches pertaining to the advancement of face recognition.
Based on a well-classified taxonomy, relevant bio-inspired techniques and their merits and demerits in
countering potential problems vital to face recognition are analyzed. A synthesis of various approaches in
terms of key governing principles and their associated performance analysis are systematically portrayed.
Finally, some intuitive future directions are suggested on how bio-inspired approaches can contribute to the
advancement of face biometrics in the years to come.