基于深度卷积下降反转断层扫描的指纹认证

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Published on: November 23, 2019

Shuainan Chen¹, Chengwei Zhao¹, Jiahao Ren¹

¹State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.

|June 1, 2024

概括

这项研究引入了一种使用Lamb波和深度学习的新型指纹认证系统. 该方法提高了准确性和速度,克服了湿手指和错误细节检测的挑战.

科学领域:

生物识别信息生物识别信息
信号处理信号处理
机器学习机器学习

背景情况:

传统的指纹认证与湿手指和虚假细节作斗争.
现有的方法需要高效的特征提取和匹配,以便可靠的识别.

研究的目的:

开发使用Lamb波和深度学习的快速指纹反转和身份验证方法.
提高指纹识别的准确性和稳定性,特别是在具有挑战性的条件下.

主要方法:

深度学习与指纹分析的多尺度融合的整合.
使用深度快速反转断层扫描 (DeepFIT) 进行加速的超声波阵列重建和微小的反转.
使用Mask R-CNN对多尺度指纹特征进行细分和匹配.

主要成果:

通过抑制的文物实现了亚毫米级指纹微小的反转.
通过提取有意义的细节,在身份验证中证明了提高准确性和可靠性.
在拟议的指纹认证过程中验证了高准确性,稳定性和速度.

结论:

开发的方法通过解决现有技术的局限性来优化指纹身份验证.
深度学习集成显著提高了指纹识别系统的性能.
该方法为安全和高效的生物识别提供了一个有希望的解决方案.

关键词:

深度快速倒置断层扫描 (DFT) 是一种快速倒置断层扫描.指纹验证验证的真实性指纹的反转是指纹的反转.羊羔的波浪在浪叫着.面具 R-CNN 的意思

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