Abstract
Biometrics has become as one of the most promising technologies over the last few decades. This technique uses a person’s physiological or behavioral characteristics (such as fingerprint, face, iris or voice) to identify an individual. Many researches show that multimodal biometric techniques which combine more than two biometric technologies provides better performance than unimodal one since they use two or more physiological or behavioral characteristics. Therefore, the multimodal biometrics has vividly researched recently. In this paper, we provide a review of multimodal biometric techniques. In addition, we discuss fusion of biometrics and various fusion scenarios that are feasible in multimodal biometric systems. Experimental results showed that the multimodal biometric system based on face and both irises outperformed compared to the unimodal biometric system. Finally, we discuss about some applications for smart TV environment based on multimodal biometric technologies.
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Kim, Y.G. et al. (2012). Multimodal Biometric Systems and Its Application in Smart TV. In: Kim, Th., Ma, J., Fang, Wc., Zhang, Y., Cuzzocrea, A. (eds) Computer Applications for Database, Education, and Ubiquitous Computing. EL DTA 2012 2012. Communications in Computer and Information Science, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35603-2_32
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DOI: https://doi.org/10.1007/978-3-642-35603-2_32
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