2026-10-23T09:59:10Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/6186 2021-12-13T00:42:10Z 1582963342780:1596102355557 user-uit

ASEAN Child Face Recognition System with FaceNet Shun Lei Myat Oo Aung Nway Oo Current researches show that deep learning is the state-of-art techniques in machine learning which outperform the human level performance. It is also the popular technique which gives high accuracy in computer vision. Face recognition is one of the ongoing researches in biometric authentication and identification system. In this paper, we develop ASEAN child face recognition system using FaceNet. We use FaceNet as feature extractions, dlib as preprocessing and classifier as K-Nearest Neighbors (KNN). FaceNet produces 128 embeddings per face as feature vectors and calculate Euclidean distance between faces in order to measure face similarity. The proposed system achieves state-of-art face recognition performance on ASEAN child face dataset with high accuracy. 2019-06-25 http://hdl.handle.net/20.500.12678/0000006186 https://meral.edu.mm/records/6186