@inproceedings{fe05c53153904c6b80c1a4e702a79857,
title = "Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition",
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.",
keywords = "Feedback Mechanism, Minutia, Ridge, Toddler fingerprint recognition",
author = "Dharma, {I. Gede Wahyu Surya} and Marsum, {M. Anwar} and Wisnu Jatmiko and Hilman, {M. H.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Workshop on Big Data and Information Security, IWBIS 2018 ; Conference date: 12-05-2018 Through 13-05-2018",
year = "2018",
month = sep,
day = "24",
doi = "10.1109/IWBIS.2018.8471717",
language = "English",
series = "2018 International Workshop on Big Data and Information Security, IWBIS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "117--122",
booktitle = "2018 International Workshop on Big Data and Information Security, IWBIS 2018",
address = "United States",
}