Title :
Online face recognition algorithm based on fuzzy ART
Author :
Gu, Ming ; Zhou, Jing-zhou ; Li, Jian-zhong
Author_Institution :
Dept. of Software Eng., ShenZhen Polytech., Shenzhen
Abstract :
After the modification of the fuzzy ART neural network operations. An algorithm based on fuzzy ART neural network which can deal with online-learning and recognition of the known and unknown faces at the same time is designed and realized. The simulation experiment results show an online maximum recognition rate is 86.3% and offline recognition rates are nearly 100% when the proper network parameters are selected. 400 images of 40 persons in the publicly available AT&T face database[1] are used for simulation experiment.
Keywords :
ART neural nets; face recognition; fuzzy neural nets; learning (artificial intelligence); fuzzy ART neural network operations; online face recognition algorithm; online training; Cybernetics; Face detection; Face recognition; Fuzzy neural networks; Fuzzy systems; Machine learning; Neural networks; Software algorithms; Spatial databases; Subspace constraints; Algorithm; Face Recognition; Fuzzy ART; Neural Network; Online Training;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620467
