Partial fingerprint alignment and matching through region-based approach

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Abstract

    One of the most important issues in fingerprint recognition is that the impressions of different fingers may appear very similar to each other (high inter-class similarity) and like-wise, different acquisition of the same finger may be dissimilar from each other (high intra-class variation). To compensate for high intra-class variation and inter-class similarity, this paper addresses two challenging issues in partial fingerprint recognition which are alignment and computing the similarity score. Rotational and displacement variation between registered and query fingerprints occur during scanning. As a consequence, fingerprint alignment is essential to correct for the rotational and translation difference between fingerprints prior to matching. By perfectly aligning the fingerprints, the matching could be simplified. Considering the possibility of high intra-class variation and inter-class similarity, how the similarity score of two fingerprints is computed plays an important role in system's match or non-match decision.

    Original languageEnglish
    Title of host publicationProceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015)
    EditorsLiming Luke Chen, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis
    Place of PublicationNew York, NY, USA
    PublisherAssociation for Computing Machinery (ACM)
    Pages275-284
    Number of pages10
    ISBN (Print)9781450334938
    DOIs
    Publication statusPublished - 11 Dec 2015
    EventInternational Conference on Advances in Mobile Computing and Multimedia 2015 - Brussels, Belgium
    Duration: 11 Dec 201513 Dec 2015
    Conference number: 13th

    Conference

    ConferenceInternational Conference on Advances in Mobile Computing and Multimedia 2015
    Abbreviated titleMoMM 2015
    CountryBelgium
    CityBrussels
    Period11/12/1513/12/15

    Cite this

    Zanganeh, O., Bhattacharjee, N., & Srinivasan, B. (2015). Partial fingerprint alignment and matching through region-based approach. In L. L. Chen, M. Steinbauer, I. Khalil, & G. Anderst-Kotsis (Eds.), Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015) (pp. 275-284). New York, NY, USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/2837126.2837132
    Zanganeh, Omid ; Bhattacharjee, Nandita ; Srinivasan, Bala. / Partial fingerprint alignment and matching through region-based approach. Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015). editor / Liming Luke Chen ; Matthias Steinbauer ; Ismail Khalil ; Gabriele Anderst-Kotsis. New York, NY, USA : Association for Computing Machinery (ACM), 2015. pp. 275-284
    @inproceedings{6775ce903b644d38bc7cbd901d266edc,
    title = "Partial fingerprint alignment and matching through region-based approach",
    abstract = "One of the most important issues in fingerprint recognition is that the impressions of different fingers may appear very similar to each other (high inter-class similarity) and like-wise, different acquisition of the same finger may be dissimilar from each other (high intra-class variation). To compensate for high intra-class variation and inter-class similarity, this paper addresses two challenging issues in partial fingerprint recognition which are alignment and computing the similarity score. Rotational and displacement variation between registered and query fingerprints occur during scanning. As a consequence, fingerprint alignment is essential to correct for the rotational and translation difference between fingerprints prior to matching. By perfectly aligning the fingerprints, the matching could be simplified. Considering the possibility of high intra-class variation and inter-class similarity, how the similarity score of two fingerprints is computed plays an important role in system's match or non-match decision.",
    author = "Omid Zanganeh and Nandita Bhattacharjee and Bala Srinivasan",
    year = "2015",
    month = "12",
    day = "11",
    doi = "10.1145/2837126.2837132",
    language = "English",
    isbn = "9781450334938",
    pages = "275--284",
    editor = "Chen, {Liming Luke} and Matthias Steinbauer and Ismail Khalil and Gabriele Anderst-Kotsis",
    booktitle = "Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015)",
    publisher = "Association for Computing Machinery (ACM)",
    address = "United States of America",

    }

    Zanganeh, O, Bhattacharjee, N & Srinivasan, B 2015, Partial fingerprint alignment and matching through region-based approach. in LL Chen, M Steinbauer, I Khalil & G Anderst-Kotsis (eds), Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015). Association for Computing Machinery (ACM), New York, NY, USA, pp. 275-284, International Conference on Advances in Mobile Computing and Multimedia 2015, Brussels, Belgium, 11/12/15. https://doi.org/10.1145/2837126.2837132

    Partial fingerprint alignment and matching through region-based approach. / Zanganeh, Omid; Bhattacharjee, Nandita; Srinivasan, Bala.

    Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015). ed. / Liming Luke Chen; Matthias Steinbauer; Ismail Khalil; Gabriele Anderst-Kotsis. New York, NY, USA : Association for Computing Machinery (ACM), 2015. p. 275-284.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    T1 - Partial fingerprint alignment and matching through region-based approach

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    AU - Bhattacharjee, Nandita

    AU - Srinivasan, Bala

    PY - 2015/12/11

    Y1 - 2015/12/11

    N2 - One of the most important issues in fingerprint recognition is that the impressions of different fingers may appear very similar to each other (high inter-class similarity) and like-wise, different acquisition of the same finger may be dissimilar from each other (high intra-class variation). To compensate for high intra-class variation and inter-class similarity, this paper addresses two challenging issues in partial fingerprint recognition which are alignment and computing the similarity score. Rotational and displacement variation between registered and query fingerprints occur during scanning. As a consequence, fingerprint alignment is essential to correct for the rotational and translation difference between fingerprints prior to matching. By perfectly aligning the fingerprints, the matching could be simplified. Considering the possibility of high intra-class variation and inter-class similarity, how the similarity score of two fingerprints is computed plays an important role in system's match or non-match decision.

    AB - One of the most important issues in fingerprint recognition is that the impressions of different fingers may appear very similar to each other (high inter-class similarity) and like-wise, different acquisition of the same finger may be dissimilar from each other (high intra-class variation). To compensate for high intra-class variation and inter-class similarity, this paper addresses two challenging issues in partial fingerprint recognition which are alignment and computing the similarity score. Rotational and displacement variation between registered and query fingerprints occur during scanning. As a consequence, fingerprint alignment is essential to correct for the rotational and translation difference between fingerprints prior to matching. By perfectly aligning the fingerprints, the matching could be simplified. Considering the possibility of high intra-class variation and inter-class similarity, how the similarity score of two fingerprints is computed plays an important role in system's match or non-match decision.

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    Zanganeh O, Bhattacharjee N, Srinivasan B. Partial fingerprint alignment and matching through region-based approach. In Chen LL, Steinbauer M, Khalil I, Anderst-Kotsis G, editors, Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015). New York, NY, USA: Association for Computing Machinery (ACM). 2015. p. 275-284 https://doi.org/10.1145/2837126.2837132