文章基本信息

标题：A Multi-Modal Recognition System Using Face and Speech
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作者：Samir Akrouf ; Belayadi Yahia ; Mostefai Messaoud 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：3
出版社：IJCSI Press
摘要：Nowadays Person Recognition has got more and more interest especially for security reasons. The recognition performed by a biometric system using a single modality tends to be less performing due to sensor data, restricted degrees of freedom and unacceptable error rates. To alleviate some of these problems we use multimodal biometric systems which provide better recognition results. By combining different modalities, such us speech, face, fingerprint, etc., we increase the performance of recognition systems. In this paper, we study the fusion of speech and face in a recognition system for taking a final decision (i.e., accept or reject identity claim). We evaluate the performance of each system differently then we fuse the results and compare the performances.
关键词：Biometrics; data fusion; face recognition; automatic speaker recognition; data processing; decision fusion