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Serial multimodal framework for enhancing user convenience using dimensionality reduction technique

机译:使用维度减少技术提高用户便利性的串行多模型框架

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Owing to an increased demand for identity management system in day to day applications, considering user convenience as a priority, we conduct a survey on biometric systems and observed serial multimodal systems as the most user convenient and reliable system. For further enhancement of the system performance, the discriminating capacity of the weaker trait can be improved, and we expect that the use of a semi supervised learning based dimensionality reduction method will make the performance of the weaker trait matcher better and hence enhance the overall performance of the system. We also propose a serial biometric system of face and fingerprint into which the dimensionality reduction method can be incorporated.
机译:由于在日常应用中对身份管理系统的需求增加,考虑到用户方便作为优先级,我们对生物识别系统进行了调查,并观察了串行多模式系统,作为最方便和可靠的系统。为了进一步提高系统性能,可以提高较弱性状的辨别能力,我们预计使用半监督的基于学习的维度减少方法将使较弱的特质匹配的性能更好,从而提高整体性能系统。我们还提出了一种串行生物识别系统的面部和指纹系统,可以掺入维度降低方法的面部和指纹。

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