论文标题
用于生物特征识别的热手图像分割
Thermal hand image segmentation for biometric recognition
论文作者
论文摘要
在本文中，我们提出了一种通过热（Th）和可见的（VIS）手图像与Testo 882-3相机同时获得的方法来识别人的方法。此外，我们还提供了一个专门为这项工作获得的新数据库。处理TH图像时真正的挑战是冷手指区域，可以将其与采集表面混淆。通过利用VIS信息来解决此问题。我们已经进行了不同的测试，以显示TH和VIS图像在识别问题中的工作方式。实验结果表明，手图像与手动图像一样适合生物识别系统，在结合此信息时可以获得更好的结果。生物识别分散匹配器已用作特征矢量维度降低技术以及分类任务。它的选择标准有助于减少用于执行识别的向量的长度，最高为一百个测量值。当使用104人的数据库时，在这些条件下，识别率达到98.3％的最大值。
In this paper we present a method to identify people by means of thermal (TH) and visible (VIS) hand images acquired simultaneously with a TESTO 882-3 camera. In addition, we also present a new database specially acquired for this work. The real challenge when dealing with TH images is the cold finger areas, which can be confused with the acquisition surface. This problem is solved by taking advantage of the VIS information. We have performed different tests to show how TH and VIS images work in identification problems. Experimental results reveal that TH hand image is as suitable for biometric recognition systems as VIS hand images, and better results are obtained when combining this information. A Biometric Dispersion Matcher has been used as a feature vector dimensionality reduction technique as well as a classification task. Its selection criteria helps to reduce the length of the vectors used to perform identification up to a hundred measurements. Identification rates reach a maximum value of 98.3% under these conditions, when using a database of 104 people.
