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首页> 外文会议>International conference on communications and cyber physical engineering >Normalization Techniques in Multi Modal Biometric
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Normalization Techniques in Multi Modal Biometric

机译：多模态生物识别中的归一化技术

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The key objective of the paper is to summarize different process that are used in multimodal biometric system for fusion of biometric traits. The main focus is on different fusion techniques that are used for fusion having different biometric traits like palm and face, iris and fingerprint, fusion of instances of same biometric model etc. Fusion are of two types, Post Classification and Pre Classification. In Post classification method integration of information occurs after matching or classification stage. In Pre-classification information fusion, integration of information takes place before matching or prior to classification. Feature level and Sensor level fusion comes under Pre-Classification Information fusion. In this paper, we also emphasis on different normalization techniques which are very essential for fusing matching score obtained after matching process. As matching scores are of different dimensions so before taking decision normalization has to be done so that fusion will be easy.
机译：本文的主要目的是总结在多模式生物特征识别系统中用于融合生物特征的不同过程。主要焦点是用于具有不同生物特征（如手掌和面部，虹膜和指纹），相同生物特征模型实例的融合等的融合技术。融合有两种类型，后分类和预分类。在后分类方法中，信息的整合发生在匹配或分类阶段之后。在预分类信息融合中，信息的集成发生在匹配之前或分类之前。功能级别和传感器级别的融合属于预分类信息融合。在本文中，我们还重点介绍了不同的归一化技术，这些技术对于融合匹配过程后获得的匹配分数非常重要。由于匹配分数具有不同的维度，因此在做出决策之前必须进行归一化，以便融合变得容易。

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