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A New Design of Experimental Schemes of Complex Matrix LDA

机译:复杂矩阵LDA实验方案的新设计

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Two-Dimension Linear Discriminant Analysis (2DLDA) and complex-matrix LDA are two noticeable improvements to conventional LDA. They can achieve a good performance respectively. However, the complex-matrix LDA is very suitable for bimodal biometrics. In this paper, we indicate the two available implementation procedures of complex-matrix, i.e. the original implementation procedure and one alternative implementation procedure proposed in this work. The following new implementation scheme for complex-matrix LDA would be designed: Firstly, the two available implementation procedures of complex-matrix LDA will be carried out and then their results to perform face recognition using the matching score fusion algorithm integrated. A highter classification accuracy indecates the proposed implementation scheme more useful than both of the two available implementation procedures of complex-matrix LDA.
机译:二维线性判别分析(2DLDA)和复杂矩阵LDA是对常规LDA的两个明显改进。它们可以分别实现良好的性能。但是,复杂矩阵LDA非常适用于双峰生物特征识别。在本文中,我们指出了复杂矩阵的两种可用的实现过程,即本工作中提出的原始实现过程和一种替代实现过程。设计复杂矩阵LDA的以下新的实现方案:首先,将执行两个可用的复杂矩阵LDA的实现过程,然后使用它们的结果,使用集成的匹配分数融合算法来进行人脸识别。更高的分类精度比拟定的复杂矩阵LDA的两个可用实现过程都更有效地建议了所提出的实现方案。

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