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Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition

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dc.contributor.authorDharma, I.G.W.S.
dc.contributor.authorMarsum, M.A.
dc.contributor.authorJatmiko, W.
dc.contributor.authorHilman, M.H.
dc.contributor.conference2018 International Workshop on Big Data and Information Security IWBIS (12 May 2018 - 13 May 2018 : Jakarta, Indonesian)
dc.date.issued2018
dc.description.abstractThis study is carried out to improve matching accuracy between level 1 feature and level 2 feature of a fingerprint by applying feedback mechanism. Level 1 feature consists of ridge frequency and orientation while level 2 feature consists of minutia point coordinate and orientation. The matching accuracy of level 1 feature slightly lower compared with level 2 feature and the accuracy even higher when applying feedback mechanism. The toddler fingerprint image that used in this study consist of 400 images from 7 toddlers that obtained by the author. The matching accuracy of level 2 feature improved approximately around 18.6% when both feedback mechanism employed, and 14.5% without feedback mechanism on both sides compared to level 1 feature accuracy.
dc.identifier.citation2018 International Workshop on Big Data and Information Security IWBIS, 2018, iss.8471717, pp.117-122
dc.identifier.doi10.1109/IWBIS.2018.8471717
dc.identifier.isbn9781538655252
dc.identifier.urihttps://hdl.handle.net/11541.2/45151
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUnited States
dc.rightsCopyright 2018 IEEE
dc.source.urihttps://doi.org/10.1109/IWBIS.2018.8471717
dc.titleLevel 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition
dc.typeConference paper
pubs.publication-statusPublished
ror.mmsid9917047160201831

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