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Review of Multimodal Biometrics: Applications, Challenges and Research Areas

机译:多峰生物识别技术回顾:应用,挑战和研究领域

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Biometric systems for today?s high security applications must meet stringent performance requirements. The fusion of multiple biometrics helps to minimize the system error rates. Fusion methods include processing biometric modalities sequentially until an acceptable match is obtained. More sophisticated methods combine scores from separate classifiers for each modality. This paper is an overview of multimodal biometrics, challenges in the progress of multimodal biometrics, the main research areas and its applications to develop the security system for high security areas
机译:用于当今高安全性应用的生物识别系统必须满足严格的性能要求。多种生物识别技术的融合有助于最大程度地降低系统错误率。融合方法包括顺序处理生物特征模态,直到获得可接受的匹配。更复杂的方法将来自每种模式的单独分类器的分数组合在一起。本文概述了多模式生物识别技术,多模式生物识别技术的挑战,主要研究领域及其在开发高安全性领域的安全系统中的应用

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