Optimizing Face Embedding Sizes and Accuracy in Facial Recognition Systems
Wui Chung Alton Chau, Hao Feng Chan, Dexter Sing Fong Leong, Shakir Hussain Naushad Mohamed, Andi Prademon Yunus, Takao Ito, Zheng Cai, Xinjie Deng, Yit Hong Choo · Proceedings of International Conference on Artificial Life and Robotics · 2025
Face recognition technology is integral to security, access control and identity verification in finance, healthcare and transportation.It protects personal data, secures online transactions, controls access to areas, and helps prevent identity theft.This paper proposes a novel hybrid optimization algorithm, Moss Particle Swarm Optimization (MPSO) to perform hyperparameter tuning, aiming to identify the neural network, alongside Triple Loss metrics for efficient recognition.The proposed method is tested with the Labeled Faces in the Wild (LFW) dataset, demonstrating its effectiveness in improving facial recognition systems.