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IET Computer Vision

Issue 6 • Date November 2011

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Displaying Results 1 - 9 of 9
  • Future trends in biometric processing [Editorial]

    Publication Year: 2011, Page(s):335 - 337
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (94 KB)

    Biometrics the automated identification of individuals by means of the measurement of physiological or behavioural characteristics has now reached a level of maturity where viable practical applications are both possible and increasingly available (some one million schoolchildren in the UK, for example, use biometrics on a daily basis for registration, library transactions, etc) and where commerci... View full abstract»

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  • Quantitative evaluation of the effects of aging on biometric templates

    Publication Year: 2011, Page(s):338 - 347
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (260 KB)

    The long-term performance of biometric authentication systems is highly depended on the permanence of biometric features stored in biometric templates. Aging variation causes modifications on biometric features that affect the matching between stored and captured biometric templates causing in that way deterioration in the performance of biometric authentication systems. In this study the authors ... View full abstract»

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  • Performance of active appearance model-based pose-robust face recognition

    Publication Year: 2011, Page(s):348 - 357
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (505 KB)

    In this study, the authors study the performance of a novel active appearance model (AAM)-based fully automatic system for pose robust face recognition that allows faster fitting to a no frontal view and generation of virtual views. The system follows a multiresolution scheme, where the first level is used to initialise a generic AAM, pose angle is automatically estimated using eigenvector analysi... View full abstract»

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  • Analysis of physical ageing effects in iris biometrics

    Publication Year: 2011, Page(s):358 - 366
    Cited by:  Papers (10)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (536 KB)

    Physical ageing is an important issue for practical biometrics, since it is known that the associated physiological changes can impair performance for most modalities. Understanding the effects of ageing is necessary, therefore both to optimise attainable performance but also to understand how to manage biometric templates, especially as the time elapsed between enrolment and use increases. Many f... View full abstract»

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  • Unobtrusive multi-modal biometric recognition using activity-related signatures

    Publication Year: 2011, Page(s):367 - 379
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (867 KB)

    The present study proposes a novel multimodal biometrics framework for identity recognition and verification following the concept of the so called `on-the-move` biometry, which sets as the final objective the non-stop authentication in an unobtrusive manner. Gait, that forms the major modality of the scheme, is complemented by new dynamic biometric signatures extracted from several activities per... View full abstract»

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  • Analysis of spatial domain information for footstep recognition

    Publication Year: 2011, Page(s):380 - 388
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (831 KB)

    This study reports an experimental analysis of footsteps as a biometric. The focus here is on information extracted from the spatial domain of signals collected from an array of piezoelectric sensors. Results are related to the largest footstep database collected to date, with almost 20 000 valid footstep signals and more than 120 persons. A novel feature approach is proposed, obtaining three-dime... View full abstract»

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  • Context-based biometric key generation for Iris

    Publication Year: 2011, Page(s):389 - 397
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (630 KB)

    In this study, a generic treatment of how to generate biometric keys from binary biometric templates is presented. A context-based analysis of iris biometric feature vectors based on which stable biometric keys are extracted is proposed. Most reliable bits in binary iris codes are detected and utilised to construct keys from fuzzy biometric data. The proposed key-generation scheme is adapted to di... View full abstract»

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  • Hand vein biometry based on geometry and appearance methods

    Publication Year: 2011, Page(s):398 - 406
    Cited by:  Papers (13)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (482 KB)

    Many biometric systems, such as face, fingerprint and iris have been studied extensively for personal verification and identification purposes. Biometric identification with vein patterns is a more recent approach that uses the vast network of blood vessels underneath a person's skin. These patterns in the hands are assumed to be unique to each individual and they do not change over time except in... View full abstract»

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  • Towards contactless palmprint authentication

    Publication Year: 2011, Page(s):407 - 416
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (908 KB)

    This study examines the issues related to two of the most palmprint promising approaches applied to the contactless biometric authentication and presents a performance evaluation on three different scenarios. The presence of significant scale, rotation, occlusion and translation variations in the contactless palmprint images requires the feature extraction approaches that can accommodate such with... View full abstract»

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Aims & Scope

IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in Computer Vision.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Majid Mirmehdi
University of Bristol
UK

Publisher
Editorial Assistant
IET Research Journals
Michael Faraday House
Six Hills Way
Stevenage  SG1 2AY  SG1 2AY  United Kingdom
iet_cvi@theiet.org