NON-CONTACT BIOMETRIC IDENTIFICATION SYSTEM
A non-contact biometric identification system includes a hand scanner that generates images of a user's palm. Images are acquired using light of a first polarization at a first time that show surfacecharacteristics such as wrinkles in the palm while images acquired using light of a second polar...
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Main Authors | , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
23.02.2021
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Subjects | |
Online Access | Get full text |
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Summary: | A non-contact biometric identification system includes a hand scanner that generates images of a user's palm. Images are acquired using light of a first polarization at a first time that show surfacecharacteristics such as wrinkles in the palm while images acquired using light of a second polarization at a second time show deeper characteristics such as veins. Within the images, the palm is identified and subdivided into sub-images. The sub-images are subsequently processed to determine feature vectors present in each sub-image. A current signature is determined using the feature vectors. A user may be identified based on a comparison of the current signature with a previously stored reference signature that is associated with a user identifier.
一种非接触式生物特征标识系统包括手扫描仪,所述手扫描仪生成用户的手掌的图像。在第一时间使用第一偏振的光采集的图像示出了表面特性,诸如手掌中的褶皱,而在第二时间使用第二偏振的光采集的图像示出了更深的特性,诸如静脉。在所述图像内,所述手掌被标识并且被细分为子图像。随后处理所述子图像以确定存在于每个子图像中的特征向量。使用所述特征向量来确定当前鲜明特征。可基于当前鲜明特征与先前存储的和用户标识符相关联的参考鲜明特征的比较来标识用户。 |
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Bibliography: | Application Number: CN201980046968 |