@inproceedings{26066c2ab388453ea656515f029a33f4,
title = "Hand Segmentation for Contactless Palmprint Recognition",
abstract = "Extracting a palm region with fixed location from an input hand image is a crucial task for palmprint recognition to realize reliable person authentication under unconstrained conditions. A palm region can be extracted from the fixed position using the gaps between fingers. Hence, an accurate and robust hand segmentation method is indispensable to extract a palm region from an image with complex background taken under various environments. This paper proposes a hand segmentation method for contactless palmprint recognition. The proposed method employs a new CNN architecture consisting of an encoder-decoder model of CNN with a pyramid pooling module. Through a set of experiments using a hand image dataset, we demonstrate that the proposed method exhibits efficient performance on hand segmentation.",
keywords = "Biometrics, CNN, Hand, Palmprint, Segmentation",
author = "Yusei Suzuki and Hiroya Kawai and Koichi Ito and Takafumi Aoki and Masakazu Fujio and Yosuke Kaga and Kenta Takahashi",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 5th Asian Conference on Pattern Recognition, ACPR 2019 ; Conference date: 26-11-2019 Through 29-11-2019",
year = "2020",
doi = "10.1007/978-3-030-41404-7_64",
language = "English",
isbn = "9783030414030",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "902--912",
editor = "Shivakumara Palaiahnakote and {Sanniti di Baja}, Gabriella and Liang Wang and Yan, {Wei Qi}",
booktitle = "Pattern Recognition - 5th Asian Conference, ACPR 2019, Revised Selected Papers",
address = "Germany",
}