@inproceedings{dee43391553f48cfb47f445826700565,
title = "Enhanced audio-visual recognition system over internet protocol",
abstract = "In this chapter, we extend the research work in Wong [1] and enhance the audio-visual recognition system over internet protocol. The multiband feature fusion method is presented to solve the illumination problem. Then a radial basis function neural network with a new orthogonal least square algorithm is proposed to improve the generalization of the radial basis function neural network with conventional orthogonal least square algorithm. Result shows that the proposed neural network achieves higher recognition accuracy with lesser number of neurons as compared to the neural network with conventional orthogonal least square algorithm. With this neural network, the recognition accuracy of the audio-visual recognition system is improved as compared to the audio-visual recognition system in Wong [1]. Then the audio-visual recognition system over internet protocol is developed where the multiband feature fusion and the proposed neural network are implemented.",
keywords = "Audio-visual recognition system, Illumination variation, Internet protocol, Multiband feature fusion, Neural network",
author = "Wong, {Yee Wan} and Seng, {Kah Phooi} and Ang, {Li Minn}",
year = "2010",
doi = "10.1007/978-90-481-3517-2-11",
language = "English",
isbn = "9789048135165",
series = "Lecture Notes in Electrical Engineering",
pages = "137--149",
booktitle = "Intelligent Automation and Computer Engineering",
note = "International Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009 ; Conference date: 18-03-2009 Through 20-03-2009",
}