生物识别,手指静脉,机器L安全系统的实现,使用捕获的手指静脉,应用机器学习的概念

O. O. Elohor, Akinbohun Folake, Thompson Aderonke, Korede Bashir
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引用次数: 0

摘要

这项工作探索了生物识别手指静脉识别领域-这是利用个人手指皮肤下独特的静脉模式来识别个人。本工作还包括使用Android近红外(NIR)模块实现Android指纹生物识别系统,该模块的存在是为了显示两种(指静脉和指纹)流行的生物识别特征之间的异同。因此,这项工作证实了手指静脉识别作为现代社会自动个人身份验证问题的准确解决方案显示出巨大的希望
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Biometric, Fingervein, Machine L Implementation of a Security System, Using Captured Fingervein, Applying the Concepts of Machine Learning
This work explores the field of biometric finger vein recognition – which is the identification of individuals using the unique vein patterns under their finger skins. This work also includes the implementation of an Android fingerprint biometric system using the Android Near InfraRed (NIR) module, which exists to show the similarities and differences between the two (fingervein and fingerprint) prevalent biometric features. This work thus confirms that finger vein recognition shows great promise as an accurate solution to modern society’s problem of automated personal authentication
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