基于传感器融合的生物特征人识别框架中传感器校准评估

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI:10.1109/AFGR.2000.840682

Bernhard Fröba, C. Rothe, Christian Küblbeck

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引用次数: 11

摘要

在各种日常应用中，生物识别身份验证是一种安全且用户友好的身份识别方式。为了达到较高的识别率，我们提出了一种基于语音、嘴唇运动和静止图像的视听人物识别系统。这三种数据源的结合(称为传感器融合)可以通过几种方式进行。提出了一种基于统计传感器特性的传感器归一化方法。我们称这个过程为传感器校准。最后的决策融合简化为每个传感器归一化输出的乘法或加法。这种方法是在170人的大型数据库中评估的，总共有6315条记录。

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Evaluation of sensor calibration in a biometric person recognition framework based on sensor fusion

Biometric person authentication is a secure and user-friendly way of identifying persons in a variety of everyday applications. In order to achieve high recognition rates, we propose an audio-visual person recognition system based on voice, lip motion and still image. The combination of these three data sources (called sensor fusion) may be performed in several ways. We present a method for sensor normalization based on statistical sensor properties. We call this procedure sensor calibration. The final decision fusion simplifies to a multiplication or addition of the normalized outputs of each sensor. This approach is evaluated on a large database of 170 people with a total of 6315 recordings.

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Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)

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