Eagle-Eyes: A System for Iris Recognition at a Distance

Bashir, Faisal; Casaverde, P.; Usher, David; Friedman, Marc

doi:10.1109/ths.2008.4534490

Cited by 29 publications

(16 citation statements)

References 11 publications

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“…Systems that allow larger stand-off distances and less constraint on the subject are under development; AOptix [15], Honeywell [16], Hoyos [17], Retica [18] and Sarnoff [19,20] have all demonstrated systems that work beyond 1 m and Matey et al prepared a review on such acquisition systems in a soon to be published book [21]. These systems are more subject-friendly than the traditional systems.…”

Section: Survey Of Segmentation Methodsmentioning

confidence: 99%

Iris image segmentation and sub-optimal images

Matey

Broussard

Kennell

2010

Image and Vision Computing

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Section: Survey Of Segmentation Methodsmentioning

confidence: 99%

Iris image segmentation and sub-optimal images

Matey

Broussard

Kennell

2010

Image and Vision Computing

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“…The recent iris-recognition technology is oriented to reducing the need for subject cooperation, reducing the time of image acquisition and increasing the distance between the sensor and the person [125,[127][128][129][130][131][132]. For example, in [131] the authors introduced the IAD prototype system, which is capable of acquiring an iris image at 30 m standoff and perform iris recognition (Fig.…”

Section: Iris De-identificationmentioning

confidence: 99%

De-identification for privacy protection in multimedia content: A survey

Ribarić

Ariyaeeinia

Pavešić

2016

Signal Processing: Image Communication

156

107

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a b s t r a c tPrivacy is one of the most important social and political issues in our information society, characterized by a growing range of enabling and supporting technologies and services. Amongst these are communications, multimedia, biometrics, big data, cloud computing, data mining, internet, social networks, and audio-video surveillance. Each of these can potentially provide the means for privacy intrusion. Deidentification is one of the main approaches to privacy protection in multimedia contents (text, still images, audio and video sequences and their combinations). It is a process for concealing or removing personal identifiers, or replacing them by surrogate personal identifiers in personal information in order to prevent the disclosure and use of data for purposes unrelated to the purpose for which the information was originally obtained. Based on the proposed taxonomy inspired by the Safe Harbour approach, the personal identifiers, i.e., the personal identifiable information, are classified as non-biometric, physiological and behavioural biometric, and soft biometric identifiers. In order to protect the privacy of an individual, all of the above identifiers will have to be de-identified in multimedia content. This paper presents a review of the concepts of privacy and the linkage among privacy, privacy protection, and the methods and technologies designed specifically for privacy protection in multimedia contents. The study provides an overview of de-identification approaches for non-biometric identifiers (text, hairstyle, dressing style, license plates), as well as for the physiological (face, fingerprint, iris, ear), behavioural (voice, gait, gesture) and soft-biometric (body silhouette, gender, age, race, tattoo) identifiers in multimedia documents.

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“…A typical "stand off" iris recognition system such as Eagle-Eyes is illustrated [19]. Table 1 gives the comparison of different "stand off" iris recognition systems.…”

Section: "Stand Off" Iris Imagingmentioning

confidence: 99%

An Embedded Iris Image Acquisition Research

Chen

Qin

2017

IJEECS

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In view of the limitation of traditional identification, it is easy to lose and copy keys, cards or ID cards, and it is easy to forget the password. Here, an embedded application system was designed based on the iris identification technology, the functions of gathering, inputing, and registering the iris information and identification can be realized. The system architecture was designed by using the embedded microprocessor of advanced RISC machines (ARM), which is used as the core. The iris sensor was used to gather the iris information, and the development of software was accomplished with the embedded OS Windows CE. The system can be used on the company entrance guard system, customs security of airport and criminal identification.

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Eagle-Eyes: A System for Iris Recognition at a Distance

Cited by 29 publications

References 11 publications

Iris image segmentation and sub-optimal images

Iris image segmentation and sub-optimal images

De-identification for privacy protection in multimedia content: A survey

An Embedded Iris Image Acquisition Research

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