Finger Region Estimation by Boundary Curve Modeling and Bezier Curve Learning

Masakazu Fujio, Keiichiro Nakazaki, Naoto Miura, Yosuke Kaga, Kenta Takahashi

2023

Abstract

This paper presents a shape-aware finger region segmentation method from hand images for user authentication. The recent development of encoder-decoder network-based deep learning technologies dramatically improved image segmentation accuracy. Although those methods predict the probability of belonging to each object pixel by pixel, it is impossible to consider whether the estimated region has a finger-like shape. We adopted a deep learning-based Bezier curve estimation method to realize shape-aware model training. We improved the accuracy with the case of warm color, complex background, and finger touching that would be difficult to estimate target regions using color-based heuristics or traditional pixel-by-pixel methods. We prepared ground truth data for each finger region (index finger, middle finger, ring finger, little finger), then trained both the conventional pixel-by-pixel estimation method and our Bezier curve estimation methods. Quantitative results showed that the proposed models outperform traditional methods (pixel-wise IOU 0.935) and practical speed.

Paper Citation

in Harvard Style

Fujio M., Nakazaki K., Miura N., Kaga Y. and Takahashi K. (2023). Finger Region Estimation by Boundary Curve Modeling and Bezier Curve Learning. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 371-378. DOI: 10.5220/0011684400003411

in Bibtex Style

@conference{icpram23,
author={Masakazu Fujio and Keiichiro Nakazaki and Naoto Miura and Yosuke Kaga and Kenta Takahashi},
title={Finger Region Estimation by Boundary Curve Modeling and Bezier Curve Learning},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={371-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011684400003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Finger Region Estimation by Boundary Curve Modeling and Bezier Curve Learning
SN - 978-989-758-626-2
AU - Fujio M.
AU - Nakazaki K.
AU - Miura N.
AU - Kaga Y.
AU - Takahashi K.
PY - 2023
SP - 371
EP - 378
DO - 10.5220/0011684400003411