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Proceedings of the IEEE

Issue 11 • Date Nov. 2006

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  • [Front cover]

    Publication Year: 2006, Page(s): C1
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  • Proceedings of the IEEE publication information

    Publication Year: 2006, Page(s): C2
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  • Table of contents

    Publication Year: 2006, Page(s):1905 - 1906
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  • Editorial

    Publication Year: 2006, Page(s):1907 - 1909
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  • Cognitive Dynamic Systems

    Publication Year: 2006, Page(s):1910 - 1911
    Cited by:  Papers (12)
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  • Special Issue on Biometrics: Algorithms and Applications

    Publication Year: 2006, Page(s):1912 - 1914
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  • NIST Fingerprint Evaluations and Developments

    Publication Year: 2006, Page(s):1915 - 1926
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (982 KB) | HTML iconHTML

    This paper presents an R&D framework used by the National Institute of Standards and Technology (NIST) for biometric technology testing and evaluation. The focus of this paper is on fingerprint-based verification and identification. Since 9/11 the NIST Image Group has been mandated by Congress to run a program for biometric technology assessment and biometric systems certification. Four essent... View full abstract»

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  • Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons

    Publication Year: 2006, Page(s):1927 - 1935
    Cited by:  Papers (180)  |  Patents (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (652 KB) | HTML iconHTML

    Recent large-scale deployments of iris recognition for border-crossing controls enable critical assessment of the robustness of this technology against making false matches, since vast numbers of cross comparisons become possible within large databases. This paper presents results from the 200 billion iris cross comparisons that could be performed within a database of 632 500 different iris images... View full abstract»

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  • Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments

    Publication Year: 2006, Page(s):1936 - 1947
    Cited by:  Papers (128)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1359 KB) | HTML iconHTML

    Iris recognition is one of the most powerful techniques for biometric identification ever developed. Commercial systems based on the algorithms developed by John Daugman have been available since 1995 and have been used in a variety of practical applications. However, all currently available systems impose substantial constraints on subject position and motion during the recognition process. These... View full abstract»

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  • Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About

    Publication Year: 2006, Page(s):1948 - 1962
    Cited by:  Papers (213)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (664 KB) | HTML iconHTML

    A key goal of computer vision researchers is to create automated face recognition systems that can equal, and eventually surpass, human performance. To this end, it is imperative that computational researchers know of the key findings from experimental studies of face recognition by humans. These findings provide insights into the nature of cues that the human visual system relies upon for achievi... View full abstract»

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  • Correlation Pattern Recognition for Face Recognition

    Publication Year: 2006, Page(s):1963 - 1976
    Cited by:  Papers (71)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (874 KB) | HTML iconHTML

    Two-dimensional (2-D) face recognition (FR) is of interest in many verification (1:1 matching) and identification (1:N matching) applications because of its nonintrusive nature and because digital cameras are becoming ubiquitous. However, the performance of 2-D FR systems can be degraded by natural factors such as expressions, illuminations, pose, and aging. Several FR algorithms have been propose... View full abstract»

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  • Face Recognition Using 3-D Models: Pose and Illumination

    Publication Year: 2006, Page(s):1977 - 1999
    Cited by:  Papers (37)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1614 KB) | HTML iconHTML

    Unconstrained illumination and pose variation lead to significant variation in the photographs of faces and constitute a major hurdle preventing the widespread use of face recognition systems. The challenge is to generalize from a limited number of images of an individual to a broad range of conditions. Recently, advances in modeling the effects of illumination and pose have been accomplished usin... View full abstract»

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  • Face Recognition Using 2-D, 3-D, and Infrared: Is Multimodal Better Than Multisample?

    Publication Year: 2006, Page(s):2000 - 2012
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (828 KB) | HTML iconHTML

    This work examines face recognition using normal intensity images, infrared images, three-dimensional shape, and combinations of these. We compare the performance improvement obtained by combining three-dimensional or infrared with normal intensity images (a "multimodal" approach) to the performance improvement obtained by using multiple intensity images (a "multisample" approach). Combining resul... View full abstract»

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  • Automatic Recognition by Gait

    Publication Year: 2006, Page(s):2013 - 2024
    Cited by:  Papers (81)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (909 KB) | HTML iconHTML

    Recognizing people by gait has a unique advantage over other biometrics: it has potential for use at a distance when other biometrics might be at too low a resolution, or might be obscured. The current state of the art can achieve over 90% identification rate under situations where the training and test data are captured under similar conditions, while recognition rates with change of clothing, sh... View full abstract»

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  • Audio-Visual Biometrics

    Publication Year: 2006, Page(s):2025 - 2044
    Cited by:  Papers (37)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1524 KB) | HTML iconHTML

    Biometric characteristics can be utilized in order to enable reliable and robust-to-impostor-attacks person recognition. Speaker recognition technology is commonly utilized in various systems enabling natural human computer interaction. The majority of the speaker recognition systems rely only on acoustic information, ignoring the visual modality. However, visual information conveys correlated and... View full abstract»

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  • Electrical Engineering Hall of Fame: William D. Coolidge

    Publication Year: 2006, Page(s):2045 - 2048
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  • Future Special Issues/Special Sections of the Proceedings

    Publication Year: 2006, Page(s):2049 - 2050
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  • Proceedings of the IEEE information for authors

    Publication Year: 2006, Page(s):2051 - 2052
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  • Technological Literacy Matters!

    Publication Year: 2006, Page(s): C3
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  • Coming in January the Proceedings of the IEEE

    Publication Year: 2006, Page(s): C4
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Meet Our Editors

Editor-in-Chief
H. Joel Trussell
North Carolina State University