A Learning Framework for Examiner-Centric Fingerprint Classification using Spectral Features

Paul Kwan, Yi Guo, Junbin Gao

    Research output: Book chapter/Published conference paperConference paperpeer-review

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    Abstract

    In recent years, the tasks of fingerprint examiners have been greatly aided by the development of automatic fingerprint classification systems. These systems operate by matching low-level features automatically extracted from fingerprint images, often represented collectively as numeric vectors, for their decision. However, there are two major shortcomings in current systems. First, the result of classification depends solely on the chosen features and the algorithm that matches them. Second, the systems cannot adapt their results over time through interaction with individual fingerprint examiners who often have different degrees of experiences. In this paper, we demonstrate by incorporating relevance feedback in a fingerprint classification system, a personalized semantic space over the database of fingerprints for each user can be incrementally learned. The fingerprint features that induce the initial features space from which individual semantic spaces are being learned were obtained by multispectral decomposition of fingerprints using a bank of Gabor filters. In this learning framework, the out-of-sample extension of a recently introduced dimensionality reduction method, called Twin Kernel Embedding (TKE), is applied to learn both the semantic space and a mapping function for classifying novel fingerprints. Experimental results confirm this learning framework for examiner-centric fingerprint classification.
    Original languageEnglish
    Title of host publicationMIPPR 2007
    Subtitle of host publicationAutomatic target recognition and image analysis; and multispectral image acquisition
    EditorsTianxu Zhang, Carl A Nardell, Duane D Smith, Hangqing Lu
    Place of PublicationWashington, USA
    PublisherSPIE
    Pages67881H
    Volume6788
    DOIs
    Publication statusPublished - 2007
    EventInternational Symposium on Multispectrum Image Processing and Pattern Recognition (MIPPR) - Wuhan, China, China
    Duration: 15 Nov 200717 Nov 2007

    Conference

    ConferenceInternational Symposium on Multispectrum Image Processing and Pattern Recognition (MIPPR)
    Country/TerritoryChina
    Period15/11/0717/11/07

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