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IET Biometrics

Issue 4 • December 2012

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Displaying Results 1 - 3 of 3
  • Critical analysis of adaptive biometric systems

    Publication Year: 2012, Page(s):179 - 187
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (200 KB)

    Biometric-based person recognition poses a challenging problem because of large variability in biometric sample quality encountered during testing and a restricted number of enrollment samples for training. Solutions in the form of adaptive biometrics have been introduced to address this issue. These adaptive biometric systems aim to adapt enrolled templates to variations in samples observed durin... View full abstract»

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  • Total variability modelling for face verification

    Publication Year: 2012, Page(s):188 - 199
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (370 KB)

    This study presents the first detailed study of total variability modelling (TVM) for face verification. TVM was originally proposed for speaker verification, where it has been accepted as state-of-the-art technology. Also referred to as front-end factor analysis, TVM uses a probabilistic model to represent a speech recording as a low-dimensional vector known as an `i-vector'. This represen... View full abstract»

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  • Face recognition for newborns

    Publication Year: 2012, Page(s):200 - 208
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (605 KB)

    Mixing, abduction and illegal adoption of newborns is a global problem and the research done to solve this problem is minimal. Traditional methods of biometric and non-biometric techniques have their own limitations and fail to provide enough level of security for newborns. The work on adult face recognition has been an active research area in recent years and automatic face recognition for newbor... View full abstract»

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Aims & Scope

The field of biometric recognition - automated recognition of individuals based on their behavioural and biological characteristics - has now reached a level of maturity where viable practical applications are both possible and increasingly available. The biometrics field is characterised especially by its interdisciplinarity since, while focused primarily around a strong technological base, effective system design and implementation often requires a broad range of skills encompassing, for example, human factors, data security and database technologies, psychological and physiological awareness, and so on. Also, the technology focus itself embraces diversity, since the engineering of effective biometric systems requires integration of image analysis, pattern recognition, sensor technology, database engineering, security design and many other strands of understanding.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Michael Fairhurst
University of Kent
UK

Publisher
IET Research Journals
iet_bmt@theiet.org