Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition
Date
2018
Authors
Dharma, I.G.W.S.
Marsum, M.A.
Jatmiko, W.
Hilman, M.H.
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Conference paper
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2018 International Workshop on Big Data and Information Security IWBIS, 2018, iss.8471717, pp.117-122
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2018 International Workshop on Big Data and Information Security IWBIS (12 May 2018 - 13 May 2018 : Jakarta, Indonesian)
Abstract
This 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.
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Copyright 2018 IEEE