Research about human face recognition technology

Zhen, Chenggang; Su, Yingmei

doi:10.1109/ictm.2009.5412901

Cited by 8 publications

(10 citation statements)

References 1 publication

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“…However, the recognition algorithms impose a number of limitations on how facial images are obtained. They also have difficulty in identification under different lighting conditions [3].…”

Section: Biometrics Advantages and Disadvantagesmentioning

confidence: 99%

“…The image of a human face can be obtained through a simple and natural approach. The equipment for collecting human face image is increasingly economical and widespread [3]. Because of its ease in sampling and its recognition without contacting the target it is easily accepted by end-users.…”

Section: Biometrics Advantages and Disadvantagesmentioning

confidence: 99%

“…However, the early face recognition system was mainly considered for a priory known group of people and only relied on human operators and their memories [3]. Although face recognition cannot be as precise as Iris or retina identification methods, it is the most promising technique due to its non-intrusiveness and wealth of features.…”

Section: Comparison and Selectionmentioning

confidence: 99%

“…Biometric recognition systems however characteristically promise a greater convenience, comfort and security for their users. Physical human characteristics are hard to be counterfeited, stolen or misplaced; they are unique to every individual [3,9,13]. Although, as with any technology biometric also has its drawbacks.…”

Section: Introductionmentioning

confidence: 99%

“…An individual might feel that scanning and other methods of biometrics identification are intrusions to their privacy. For example fingerprinting was associated with criminals for a long time and therefore having their fingerprint taken might make some people uncomfortable [3]. Furthermore, user's privacy can also be invaded if a cross-matching between different biometric databases is performed, in order to track the enrolled subjects using their personal biometric characters [8].…”

Section: Introductionmentioning

confidence: 99%

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Authentication of subjects and devices using biometrics and identity management systems for persuasive mobile computing: A survey paper

Mastali

Agbinya

2010

2010 Fifth International Conference on Broadband and Biomedical Communications

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With the advances in Information Technology (IT) there has been an increase in threats to the communication systems and its assets. One of the most important issues of all IP networks that integrate wireless and wired technologies is the applicability and performance of the electronic identification and authentication methods. These schemes employ a variety of technologies of different degrees of security.Biometrics technology nowadays is typically considered a security necessity, tightly coupled with the foundation of highly secure identification and authentication solutions. This article provides a short survey on different types of authentication and identity management systems. It attempts to describe a summary of related works including some of the latest schemes in face and fingerprint recognition. With a better understanding of electronic authentication techniques any organization can properly select and utilize the technologies which meet its needs.

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“…However, the recognition algorithms impose a number of limitations on how facial images are obtained. They also have difficulty in identification under different lighting conditions [3].…”

Section: Biometrics Advantages and Disadvantagesmentioning

confidence: 99%

Section: Biometrics Advantages and Disadvantagesmentioning

confidence: 99%

Section: Comparison and Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Authentication of subjects and devices using biometrics and identity management systems for persuasive mobile computing: A survey paper

Mastali

Agbinya

2010

2010 Fifth International Conference on Broadband and Biomedical Communications

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Design and implementation of multimodal digital identity management system using fingerprint matching and face recognition

Agbinya

Mastali

Islam

et al. 2011

7th International Conference on Broadband Communications and Biomedical Applications

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In moving towards ubiquitous online services and hybrid network environment, a highly complex identity management environment is emerging due to the diversity of protocols, networks and devices as well as user requirements. The combination of distributed attributes and identities are often not associated across identity management systems and carries different amount of security data. This causes difficulties due to multiple identities and raises the need for an efficient design of an identity management system. The multiplicities of approaches to and techniques for identity management, while dealing with the present challenges, have introduced new problems, especially the concern about privacy. Biometrics technologies nowadays are typically considered a vital component of the security requirements and are strongly attached to the basis of highly secure identification and authentication solutions. This paper describes the fundamental concepts of identity authentication and identity management systems. In this work we also propose and implement a multimodal Digital Identity Management System (IDMS) integrating pseudo metrics, physical metrics and biometrics techniques based on artificial neural networks.

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