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首页> 外文会议>BMEI 2012;International Conference on Biomedical Engineering and Informatics >Research of dual-model recognition algorithm based on finger vein and finger crease
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Research of dual-model recognition algorithm based on finger vein and finger crease

机译：基于手指静脉和手指折痕的双模型识别算法研究

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摘要

The advantages of finger vein are in vivo identification, internal features, non-contact and security, but it's identified features are insufficient. Finger crease is in the surface of finger skin, and it has some stable biological features. So a finger has two kinds of biological features. Combined with the advantages and the disadvantages of finger vein and finger crease, a new dual-model recognition algorithm based on finger vein and finger crease is presented. First, the finger vein image and the finger crease image of a finger are acquired and preprocessed Separately. Second, the two types of images are fused based on pixel-level image. Finally, feature extraction and recognition are researched for the fused images. Experimental results on our database of finger vein images and finger crease images show that the recognition of dual-model method presented is higher than the recognition of single-model finger vein.
机译：指静脉的优点是体内识别，内部特征，非接触性和安全性，但其识别特征不足。手指折痕在手指皮肤的表面，具有一些稳定的生物学特性。因此，手指具有两种生物学特征。结合手指静脉和手指折痕的优缺点，提出了一种新的基于手指静脉和手指折痕的双模型识别算法。首先，分别获取手指的手指静脉图像和手指折痕图像并进行预处理。其次，基于像素级图像将两种类型的图像融合。最后，研究了融合图像的特征提取与识别。在我们的手指静脉图像和手指折痕图像数据库上的实验结果表明，所提出的双模式方法的识别率高于单模式手指静脉的识别率。

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