A region-based alignment-free partial fingerprint matching

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

    Abstract

    Fingerprint is one of the most researched biometrics and applied to many applications like boarder security, access security, security of electronic devices to name a few. However, alignment and matching of partial fingerprints convincingly is still a challenging problem. This paper proposes a region based partial fingerprint matching approach that matches the fingerprints without aligning them. The approach focuses on extracting the matching regions in unaligned fingerprints. As extraction of regions happens without alignment, a new similarity metric is proposed that can compute similarity value between unaligned fingerprints. The results demonstrate that the proposed approach can eliminate the need for aligning the fingerprints without affecting the accuracy. The popular Fingerprint Verification Competition (FVC) 2002 dataset is used for conducting experiments. Moreover, the results of fingerprint recognition are compared with the best alignment based fingerprint matching techniques.
    Original languageEnglish
    Title of host publicationProceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016)
    Subtitle of host publicationNovember 28 - 30, 2016, Singapore, Singapore
    EditorsBessam Abdulrazak, Eric Pardede, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis
    Place of PublicationNew York, New York
    PublisherAssociation for Computing Machinery (ACM)
    Pages63-70
    Number of pages8
    ISBN (Print)9781450348065
    DOIs
    Publication statusPublished - Nov 2016
    EventInternational Conference on Advances in Mobile Computing and Multimedia 2016 - , Singapore
    Duration: 28 Nov 201630 Nov 2016
    Conference number: 14th

    Conference

    ConferenceInternational Conference on Advances in Mobile Computing and Multimedia 2016
    Abbreviated titleMoMM 2016
    CountrySingapore
    Period28/11/1630/11/16

    Keywords

    • Accuracy
    • Alignment-free
    • Fingerprints
    • Recognition
    • Similarity measure

    Cite this

    Komal, K., Albrecht, D., Bhattacharjee, N., & Srinivasan, B. (2016). A region-based alignment-free partial fingerprint matching. In B. Abdulrazak, E. Pardede, M. Steinbauer, I. Khalil, & G. Anderst-Kotsis (Eds.), Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016): November 28 - 30, 2016, Singapore, Singapore (pp. 63-70). New York, New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/3007120.3007130
    Komal, Komal ; Albrecht, David ; Bhattacharjee, Nandita ; Srinivasan, Bala. / A region-based alignment-free partial fingerprint matching. Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016): November 28 - 30, 2016, Singapore, Singapore. editor / Bessam Abdulrazak ; Eric Pardede ; Matthias Steinbauer ; Ismail Khalil ; Gabriele Anderst-Kotsis. New York, New York : Association for Computing Machinery (ACM), 2016. pp. 63-70
    @inproceedings{3412cfb5bbea4914aed656ce1e361e7e,
    title = "A region-based alignment-free partial fingerprint matching",
    abstract = "Fingerprint is one of the most researched biometrics and applied to many applications like boarder security, access security, security of electronic devices to name a few. However, alignment and matching of partial fingerprints convincingly is still a challenging problem. This paper proposes a region based partial fingerprint matching approach that matches the fingerprints without aligning them. The approach focuses on extracting the matching regions in unaligned fingerprints. As extraction of regions happens without alignment, a new similarity metric is proposed that can compute similarity value between unaligned fingerprints. The results demonstrate that the proposed approach can eliminate the need for aligning the fingerprints without affecting the accuracy. The popular Fingerprint Verification Competition (FVC) 2002 dataset is used for conducting experiments. Moreover, the results of fingerprint recognition are compared with the best alignment based fingerprint matching techniques.",
    keywords = "Accuracy, Alignment-free, Fingerprints, Recognition, Similarity measure",
    author = "Komal Komal and David Albrecht and Nandita Bhattacharjee and Bala Srinivasan",
    year = "2016",
    month = "11",
    doi = "10.1145/3007120.3007130",
    language = "English",
    isbn = "9781450348065",
    pages = "63--70",
    editor = "Bessam Abdulrazak and Eric Pardede and Matthias Steinbauer and Khalil, {Ismail } and Anderst-Kotsis, {Gabriele }",
    booktitle = "Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016)",
    publisher = "Association for Computing Machinery (ACM)",
    address = "United States",

    }

    Komal, K, Albrecht, D, Bhattacharjee, N & Srinivasan, B 2016, A region-based alignment-free partial fingerprint matching. in B Abdulrazak, E Pardede, M Steinbauer, I Khalil & G Anderst-Kotsis (eds), Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016): November 28 - 30, 2016, Singapore, Singapore. Association for Computing Machinery (ACM), New York, New York, pp. 63-70, International Conference on Advances in Mobile Computing and Multimedia 2016, Singapore, 28/11/16. https://doi.org/10.1145/3007120.3007130

    A region-based alignment-free partial fingerprint matching. / Komal, Komal; Albrecht, David; Bhattacharjee, Nandita; Srinivasan, Bala.

    Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016): November 28 - 30, 2016, Singapore, Singapore. ed. / Bessam Abdulrazak; Eric Pardede; Matthias Steinbauer; Ismail Khalil; Gabriele Anderst-Kotsis. New York, New York : Association for Computing Machinery (ACM), 2016. p. 63-70.

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

    TY - GEN

    T1 - A region-based alignment-free partial fingerprint matching

    AU - Komal, Komal

    AU - Albrecht, David

    AU - Bhattacharjee, Nandita

    AU - Srinivasan, Bala

    PY - 2016/11

    Y1 - 2016/11

    N2 - Fingerprint is one of the most researched biometrics and applied to many applications like boarder security, access security, security of electronic devices to name a few. However, alignment and matching of partial fingerprints convincingly is still a challenging problem. This paper proposes a region based partial fingerprint matching approach that matches the fingerprints without aligning them. The approach focuses on extracting the matching regions in unaligned fingerprints. As extraction of regions happens without alignment, a new similarity metric is proposed that can compute similarity value between unaligned fingerprints. The results demonstrate that the proposed approach can eliminate the need for aligning the fingerprints without affecting the accuracy. The popular Fingerprint Verification Competition (FVC) 2002 dataset is used for conducting experiments. Moreover, the results of fingerprint recognition are compared with the best alignment based fingerprint matching techniques.

    AB - Fingerprint is one of the most researched biometrics and applied to many applications like boarder security, access security, security of electronic devices to name a few. However, alignment and matching of partial fingerprints convincingly is still a challenging problem. This paper proposes a region based partial fingerprint matching approach that matches the fingerprints without aligning them. The approach focuses on extracting the matching regions in unaligned fingerprints. As extraction of regions happens without alignment, a new similarity metric is proposed that can compute similarity value between unaligned fingerprints. The results demonstrate that the proposed approach can eliminate the need for aligning the fingerprints without affecting the accuracy. The popular Fingerprint Verification Competition (FVC) 2002 dataset is used for conducting experiments. Moreover, the results of fingerprint recognition are compared with the best alignment based fingerprint matching techniques.

    KW - Accuracy

    KW - Alignment-free

    KW - Fingerprints

    KW - Recognition

    KW - Similarity measure

    UR - http://www.scopus.com/inward/record.url?scp=85015072822&partnerID=8YFLogxK

    U2 - 10.1145/3007120.3007130

    DO - 10.1145/3007120.3007130

    M3 - Conference Paper

    SN - 9781450348065

    SP - 63

    EP - 70

    BT - Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016)

    A2 - Abdulrazak, Bessam

    A2 - Pardede, Eric

    A2 - Steinbauer, Matthias

    A2 - Khalil, Ismail

    A2 - Anderst-Kotsis, Gabriele

    PB - Association for Computing Machinery (ACM)

    CY - New York, New York

    ER -

    Komal K, Albrecht D, Bhattacharjee N, Srinivasan B. A region-based alignment-free partial fingerprint matching. In Abdulrazak B, Pardede E, Steinbauer M, Khalil I, Anderst-Kotsis G, editors, Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2016): November 28 - 30, 2016, Singapore, Singapore. New York, New York: Association for Computing Machinery (ACM). 2016. p. 63-70 https://doi.org/10.1145/3007120.3007130