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IET Computer Vision

Issue 1 • Date March 2009

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Displaying Results 1 - 4 of 4
  • Iris recognition on edge maps

    Publication Year: 2009, Page(s):1 - 7
    Cited by:  Papers (8)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (446 KB)

    Iris recognition is a potential tool in secure personal identification and authentication in view of properties such as uniqueness, non-invasiveness and stability of human iris patterns. A new approach based on the Hausdorff distance measure is proposed for iris recognition. In contrast to existing approaches that consider grey or colour images, the new approach considers the binary edge maps of i... View full abstract»

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  • Local probabilistic descriptors for image categorisation

    Publication Year: 2009, Page(s):8 - 23
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (906 KB)

    Image categorisation involves the well known difficulties with different visual appearances of a single object, but also introduces the problem of within-category variation. This within-category variation makes highly distinctive local descriptors less appropriate for categorisation. Difficulties because of the within category variation and clutter are tackled by modelling image fragments in a new... View full abstract»

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  • Automatic skin segmentation and tracking in sign language recognition

    Publication Year: 2009, Page(s):24 - 35
    Cited by:  Papers (10)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (536 KB)

    Skin segmentation and tracking play an important role in sign language recognition. A framework for segmenting and tracking skin objects from signing videos is described. It mainly consists of two parts: a skin colour model and a skin object tracking system. The skin colour model is first built based on the combination of support vector machine active learning and region segmentation. Then, the ob... View full abstract»

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  • Lossless parameterisation of image contour for shape recognition

    Publication Year: 2009, Page(s):36 - 46
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (946 KB)

    A parameterised contour that is invariant against affine transformations is a convenient substitution of the object image for shape recognition. Generally, parameterisation needs several representative signals of the image contour to fit the affine transformation model. When the representative signals fail to carry the contour information thoroughly, information loss occurs in the resulting parame... 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