文章基本信息

标题：Dynamic Audio-Visual Client Recognition modelling
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作者：Dr. Tijjani Adam Shuwa ; Professor U. Hashim
期刊名称：International Journal of Computer Science and Security (IJCSS)
电子版ISSN：1985-1553
出版年度：2011
卷号：5
期号：5
页码：512-526
出版社：Computer Science Journals
摘要：This paper contains a report on an Audio-Visual Client Recognition System using Matlab software which identifies five clients and can be improved to identify as many clients as possible depending on the number of clients it is trained to identify which was successfully implemented. The implementation was accomplished first by visual recognition system implemented using The Principal Component Analysis, Linear Discriminant Analysis and Nearest Neighbour Classifier. A successful implementation of second part was achieved by audio recognition using Mel-Frequency Cepstrum Coefficient, Linear Discriminant Analysis and Nearest Neighbour Classifier the system was tested using images and sounds that have not been trained to the system to see whether it can detect an intruder which lead us to a very successful result with précised response to intruder.
关键词：Facial Recognition; Audio- Visual Client Recognition; Discriminate; Multi-model Biometric System; Training Image; PCA; LDA.