光子学报, 2019, 48 (6): 0611001, 网络出版: 2019-07-10
基于光学相干层析成像与光学微血管造影的指纹防伪方法
Fingerprint Anti-counterfeiting Method Based on Optical Coherence Tomography and Optical Micro-angiography
应用光学 相干光 光学相干层析成像 光学微血管造影 真皮层指纹 微血管 生物识别技术 Applied optics Coherent light Optical coherence tomography Optical micro-angiography Dermis fingerprint Blood vessels Biometric technology
摘要
提出一种指纹防伪方法, 通过光学相干层析成像获取手指指尖的表皮层指纹、真皮层指纹与汗腺等结构信息, 通过光学微血管造影获取手指指尖下的血流信息, 结合两种技术获取具有动态防伪的指尖生物识别特征体数据.用真指纹和制作的假指纹对传统商业指纹采集仪和所提方法的有效性进行实验验证.结果表明: 传统商业指纹采集仪难以分辨真假指纹, 防伪能力不足; 光学相干层析的指纹成像可利用获取的手指皮下结构有效识别常见的人造指纹制品, 基于真皮层指纹状态判断真假指纹; 利用光学微血管造影获取的手指皮下血流成像, 结合平均光强阈值可实现指纹活体防伪; 所提出的指纹防伪方法的准确率可达100%.
Abstract
A fingerprint anti-counterfeiting method was proposed. The structural information of the epidermis fingerprint, dermis fingerprint and sweat gland of the fingertip is obtained by optical coherence tomography, and the blood flow information under the fingertips of the finger is obtained by optical micro-angiography, so that the fingertip biometric feature data with dynamic anti-counterfeiting is acquired. Experiments were carried out on the effectiveness of traditional commercial fingerprint scanners and proposed method using real fingerprints and fake fingerprints. The results show that the traditional commercial fingerprint collection instrument is difficult to distinguish between true and false fingerprints, and the anti-counterfeiting ability is insufficient. The fingerprint imaging of optical coherence tomography can effectively identify common artificial fingerprint products by using the obtained subcutaneous structure of the finger, and judge the true and false fingerprint based on the fingerprint state of the dermis layer; The subcutaneous blood flow imaging obtained by optical micro-angiography can be combined with the average light intensity threshold to achieve fingerprint biopsy. The accuracy of the proposed fingerprint anti-counterfeiting method can reach 100%.
陈朋, 江磊, 王海霞, 孙昊浩, 张怡龙, 梁荣华. 基于光学相干层析成像与光学微血管造影的指纹防伪方法[J]. 光子学报, 2019, 48(6): 0611001. CHEN Peng, JIANG Lei, WANG Hai-xia, SUN Hao-hao, ZHANG Yi-long, LIANG Rong-hua. Fingerprint Anti-counterfeiting Method Based on Optical Coherence Tomography and Optical Micro-angiography[J]. ACTA PHOTONICA SINICA, 2019, 48(6): 0611001.