A Study on the Design and Implementation of Facial Recognition Application System

Park, Yoon Young; Lee, Kyung-Oh

doi:10.14257/ijbsbt.2014.6.2.01

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…There is no contact with each other, no effort is needed, and it will not affect people's normal living habits and behaviors. And due to the continuous innovation of Internet technology, the efficiency, function and accuracy of facial recognition application systems are getting better and better [3].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Artificial intelligence facial recognition and voice anomaly detection in the application of English MOOC teaching system

Zhang²

2023

Soft Comput

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As a direct and effective biometric technology that follows human life habits, facial recognition has gradually become a mainstream, stable and reliable recognition method in the process of further development of science and technology. Facial recognition is a kind of biometric authentication based on recognition technology that is an original biological characteristic. After collecting the biometric functions, use a computer for digital image processing and template matching to complete the process of facial recognition. In the face of MOOC, establish a high-quality resource sharing mechanism, use this opportunity to explore innovative education models, and truly feel the strong momentum of traditional Chinese higher education, which has greatly improved the quality of education in Chinese universities. In addition, in order to vigorously promote the internationalization of education in China, education scholars need to conduct a lot of in-depth research on MOOC. In this article, a demand-based testing method is used to establish a skin color distribution model for color image preprocessing, and then develop and construct according to the comprehensive analysis of the university English class in the MOOC platform implementation mechanism (including the establishment of basic principles of operation mechanism), thereby Become a guarantee and support for curriculum and education quality evaluation system. This article combines the characteristics of educational practice and MOOC education, takes college English courses as an example, studies its application mechanism, builds a MOOC platform, and continuously enhances students' interest in learning English, aiming to provide a practical reference for the reform of Chinese college English education.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Artificial intelligence facial recognition and voice anomaly detection in the application of English MOOC teaching system

Zhang²

2023

Soft Comput

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“…The scheme can operate without user participation, but it has a significant drawback: if an adversary gains control of a lost or stolen device along with the necessary decryption information, they can access the encrypted data. Park et al 24 developed a user anonymity‐preserving authentication technique, but subsequent research 25 showed vulnerabilities to attacks such as password guessing, privileged insider, and known session‐specific transient information. Furthermore, the scheme does not guarantee user privacy, and the gateway node's private key is not secure.…”

Section: Related Workmentioning

confidence: 99%

A robust and secure user authentication scheme based on multifactor and multi‐gateway in IoT enabled sensor networks

Kumar

Singh

et al. 2023

Security and Privacy

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The Internet of Things (IoT) enabled wireless sensor networks (WSNs) are used to collect data from various nodes in hostile environments, but it is essential to authenticate legitimate nodes to prevent malicious attacks. Traditional authentication schemes may be vulnerable to attack, necessitating the development of more secure authentication techniques. To address this problem, we propose a novel authentication technique for multi‐gateway IoT‐enabled WSNs that achieves effective and secure data communication. The proposed scheme is based on biological information, hash, and XOR operations, which reduce computational costs. Passwords, biometric information, and session keys are updated securely to maintain forward and backward secrecy during communication. We provide an informal security analysis of the proposed scheme and a formal security analysis of the session key using the real‐or‐random (ROR) model. We also use the AVISPA simulation toolkit to verify the proposed user authentication scheme. Experimental results demonstrate that our proposed scheme is more effective than previous multi‐factor multi‐gateway authentication protocols.

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Face and Emotion Recognition on Commercial Property under EU Data Protection Law

Lewinski

Trzaskowski

Luzak

2016

Psychology and Marketing

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This paper integrates and cuts through domains of privacy law and biometrics. Specifically, this paper presents a legal analysis on the use of Automated Facial Recognition Systems (the AFRS) in commercial (retail store) settings within the European Union data protection framework. The AFRS is a typical instance of biometric technologies, where a distributed system of dozens of low-cost cameras uses psychological states, sociodemographic characteristics, and identity recognition algorithms on thousands of passers-by and customers. Current use cases and theoretical possibilities are discussed due to the technology's potential of becoming a substantial privacy issue. First, this paper introduces the AFRS and EU data protection law. This is followed by an analysis of European Data protection law and its application in relation to the use of the AFRS, including requirements concerning data quality and legitimate processing of personal data, which, finally, leads to an overview of measures that traders can take to comply with data protection law, including by means of information, consent, and anonymization.

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A Study on the Design and Implementation of Facial Recognition Application System

Cited by 6 publications

References 7 publications

RETRACTED ARTICLE: Artificial intelligence facial recognition and voice anomaly detection in the application of English MOOC teaching system

RETRACTED ARTICLE: Artificial intelligence facial recognition and voice anomaly detection in the application of English MOOC teaching system

A robust and secure user authentication scheme based on multifactor and multi‐gateway in IoT enabled sensor networks

Face and Emotion Recognition on Commercial Property under EU Data Protection Law

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