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BIOMETRIC ANALYSIS STRUCTURE, METHOD AND NEURAL NETWORK WITH CODING MASK

机译:带有编码掩码的生物特征分析结构,方法和神经网络

摘要

A biometric analysis structure, method and neural network with coded mask are provided. The biometric analysis structure includes a display panel, a light source, and a sensor. The sensor is disposed on the optical path of light from the light source and reflected by the display panel. The biometric analysis structure includes an coded mask. The coded mask is disposed on the optical path in front of the sensor. the coded mask is represented as a first matrix in a matrix form and the first matrix is a delta function after satisfying an autocorrelation operation. The resulting image can be inversely resolved based on the image of the coded mask. Thus, the security of the fingerprint recognition method is improved, and the thickness of the entire imaging structure is reduced.
机译:提供了一种带有编码掩码的生物特征分析结构,方法和神经网络。生物特征分析结构包括显示面板,光源和传感器。传感器设置在来自光源的光的光路上,并被显示面板反射。生物特征分析结构包括编码掩模。编码后的遮罩位于传感器前面的光路上。所述编码掩码表示为矩阵形式的第一矩阵,满足自相关运算后,所述第一矩阵为增量函数。可以基于编码蒙版的图像来反解析结果图像。因此,提高了指纹识别方法的安全性,并且减小了整个成像结构的厚度。

著录项

  • 公开/公告号US2020184184A1

    专利类型

  • 公开/公告日2020-06-11

    原文格式PDF

  • 申请/专利号US201916708452

  • 发明设计人 YA-TI CHANG LEE;

    申请日2019-12-10

  • 分类号G06K9;G06K9/62;G06N3/08;G06N3/04;

  • 国家 US

  • 入库时间 2022-08-21 11:27:35

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