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首页> 外文期刊>Proceedings of the IEEE >Audio-Visual Biometrics
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Audio-Visual Biometrics

机译：视听生物识别

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摘要

Biometric characteristics can be utilized in order to enable reliable and robust-to-impostor-attacks person recognition. Speaker recognition technology is commonly utilized in various systems enabling natural human computer interaction. The majority of the speaker recognition systems rely only on acoustic information, ignoring the visual modality. However, visual information conveys correlated and complimentary information to the audio information and its integration into a recognition system can potentially increase the system's performance, especially in the presence of adverse acoustic conditions. Acoustic and visual biometric signals, such as the person's voice and face, can be obtained using unobtrusive and user-friendly procedures and low-cost sensors. Developing unobtrusive biometric systems makes biometric technology more socially acceptable and accelerates its integration into every day life. In this paper, we describe the main components of audio-visual biometric systems, review existing systems and their performance, and discuss future research and development directions in this area
机译：可以利用生物特征来实现对冒犯者的可靠和鲁棒的攻击。说话人识别技术通常用于实现自然人机交互的各种系统中。大多数说话者识别系统仅依靠声学信息，而忽略了视觉形态。然而，视觉信息将相关且互补的信息传达给音频信息，并且将其集成到识别系统中可能会提高系统的性能，尤其是在不利的声学条件下。声音和视觉生物识别信号，例如人的声音和面部表情，可以使用不引人注目的且用户友好的程序和低成本传感器获得。开发无干扰的生物识别系统使生物识别技术在社会上更容易被接受，并加速其融入日常生活。在本文中，我们描述了视听生物识别系统的主要组成部分，回顾了现有系统及其性能，并讨论了该领域的未来研究和发展方向

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