生物识别认证技术和电子学习

R. Kashyap
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引用次数: 8

摘要

本章的主要目标是通过使用人脸识别来验证学生是否参加在线考试来回答在线考试框架。提出了一种利用神经系统来验证个人计算机化唯一标记框架的策略。本章的重点是对不同的面部验证框架进行分解和对比,以确定学生在使用电子学习阶段时的身份,并逐项列出所记录的每个结构的费用和亮点。生物识别技术是一种合理的验证,用作一种区分证明和访问控制。它还用于区分被观察的人群。然后,生物特征标识符是用于标记和描绘人的特定可量化品质。生物识别认证器通常被尽可能地命名为行为和额外的生理属性。生理素质与身体的状态一致。在本章中,重点是独特的生物识别技术及其应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biometric Authentication Techniques and E-Learning
The primary goal of this chapter is to answer online exam frameworks by utilizing face acknowledgment to verify students for going to an online exam. A strategy in light of the utilization of neural systems to validate individuals' computerized unique mark framework for e-learning is present. This chapter centers around breaking down and contrasting the distinctive facial verification frameworks to confirm the understudies when they utilize e-learning stages, itemizing the expenses and the highlights of each structure recorded. Biometrics is a sensible verification used as a type of distinguishing proof and access control. It is additionally used to distinguish people in bunches that are under observation. Biometric identifiers are then particular quantifiable qualities used to mark and portray people. Biometric authenticators are as often as possible named as conduct and additionally physiological attributes. Physiological qualities are identified with the state of the body. In this chapter, the essential focus is on the distinctive biometrics and their applications.
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