Dynamic Audio-Visual Client Recognition modelling

International Journal of Computer Science and Security

Tijjani Adam Shuwa¹  U. Hashim¹ 

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关键词: Facial Recognition;    Audio- Visual Client Recognition;    Discriminate;    Multi-model Biometric System;    Training Image;    PCA;    LDA.;   

DOI  :  

来源: Computer Science and Security

【 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.

【 授权许可】

Unknown