Sweat glands extraction in optical coherence tomography fingerprints
Sweat glands extraction in optical coherence tomography fingerprints
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DOI：
10.1109/spac.2017.8304344
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发表时间：
2017-12
期刊：
影响因子：
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通讯作者：
Shuang Sun;Zhenhua Guo
中科院分区：
文献类型：
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作者：
Shuang Sun;Zhenhua Guo
光学相干层析成像（OCT）是一种非侵入性的技术，可以获取高分辨率的三维指纹。OCT指纹中的表面指纹、汗腺指纹和内部指纹比传统的二维指纹提供了更多的信息。本文提出了一种汗腺提取方法。该方法利用Frangi滤波器检测出腺体的位置，并采用阈值法进行分割。对50个手指的实验结果表明，该方法可以成功地分割汗腺。我们还扫描了假指纹来进行活体检测。与真实的手指不同，假指纹没有内部结构。OCT指纹可以很容易地识别假指纹。我们还表明，结合汗腺信息与指纹谷和脊可以提高指纹识别的性能。
Optical coherence tomography (OCT) is a non-invasive technique which can capture high-resolution three-dimension fingerprints. The surface fingerprint, sweat glands and internal fingerprint in OCT fingerprint provides more information than conventional two-dimension fingerprints. In this paper, we present a sweat gland extraction method. The method detects each gland's position using Frangi's filter and segment them by thresholding method. The experiment result on 50 fingers shows our method can successfully segment sweat glands. We also scanned fake fingerprints to do liveness detection. Different from real fingers, fake fingerprints do not have internal structures. We can distinguish fake fingerprints easily with OCT fingerprints. We also show that combining sweat glands information with fingerprint valleys and ridges can improve performance of fingerprint identification.