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Fingerprint recognition using neural network

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Abstract

    This paper describes a neural network based approach for automated fingerprint recognition. Minutiae are extracted from the fingerprint image via a multilayer perceptron (MLP) classifier with one hidden layer. The backpropagation learning technique is used for its training. Selected features are represented in a special way such that they are simultaneously invariant under shift, rotation and scaling. Simulation results are obtained with good detection ratio and low failure rate. The proposed method is found to be reliable for system with a small set of fingerprint data.
    Original languageEnglish
    Title of host publicationNeural Networks for Signal Processing
    PublisherIEEE
    Pages226-235
    ISBN (Print)780301188
    Publication statusPublished - 1991
    EventProceedings of the 1991 Workshop on Neural Networks for Signal Processing - NNSP-91 - Princeton, NJ, USA
    Duration: 30 Sept 1991 → 2 Oct 1991

    Conference

    ConferenceProceedings of the 1991 Workshop on Neural Networks for Signal Processing - NNSP-91
    CityPrinceton, NJ, USA
    Period30/09/91 → 2/10/91

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