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指尖皮肤的压力不敏感的表皮厚度用于光学图像加密

Wangbiao Li¹, Bo Zhang¹, Xiaoman Zhang¹

¹The Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Provincial Engineering Technology Research Center for Photoelectric Sensing Application, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350117, China.

Sensors (Basel, Switzerland)

|April 13, 2024

概括

指尖的皮肤指尖的皮肤

科学领域:

生物识别信息生物识别信息
光学连贯性断层扫描技术
图像加密图像加密

背景情况:

生物识别身份验证对于安全访问数据至关重要.
光学相干断层成像 (OCT) 提供高分辨率的横截面成像.
卷积神经网络 (CNN) 在图像细分任务中表现出色.

研究的目的:

提出一种使用指尖表皮厚度的新型光学图像加密方法.
为了提高安全性,利用内部指纹功能.
评估拟议的加密方案的稳定性和可行性.

主要方法:

使用光学连贯断层扫描 (OCT) 进行指尖皮肤成像.
采用U-Net CNN架构进行表皮层细分.
使用最大强度投影 (MIP) 从表皮-皮肤交叉处提取内部指纹.

主要成果:

外皮厚度表明对压力变化的不敏感.
数字模拟证实了加密方案的可行性和安全性 (SSIM分析).
该方法显示了对压力变化,噪声和数据丢失的稳定性.

结论:

指尖表皮厚度是安全信息加密的可行生物识别.
拟议的基于OCT和CNN的方法为生物识别加密提供了一个有希望的方法.
内部指纹引导的方法提高了加密系统的安全性和可靠性.

关键词:

卷积神经网络是一种卷积神经网络.横截面的OCT图像.表面皮肤厚度表面皮肤厚度最大强度投影的最大强度.

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