@article{3b41f0420cd3493ba5d5b1b517cd42bc,
title = "Footprint-based personal recognition",
abstract = "This paper proposes a new method of personal recognition based on footprints. In this method, an input pair of raw footprints is normalize, both in direction and in position for robustness image-matching between the input pair of footprints and the pair of registered footprints. In addition to the Euclidean distance between them, the geometric information of the input footprint is used prior to the normalization, i.e., directional and positional information. In the experiment, the pressure distribution of the footprint was measured with a pressure-sensing mat. Ten volunteers contributed footprints for testing the proposed method. The recognition rate was 30.45% without any normalization (i.e., raw image), and 85.00% with out method.",
keywords = "Biometrics, Footprint, Normalization, Personal recognition, Pressure distribution",
author = "Kazuki Nakajima and Yoshiki Mizukami and Kanya Tanaka and Toshiyo Tamura",
note = "Funding Information: Manuscript received September 30, 1999; revised July 10, 2000. This work was supported in part by Comprehensive Research on Aging and Health (H11-CRAH—039, H11-CRAH-042) and the Research Grant for Longevity Sciences (10C-02, 11C-05) from the Ministry of Health and Welfare. Asterisk indicates corresponding author. *K. Nakajima is with the Department of Gerontechnology, National Institute for Longevity Sciences, 36-3, Gengo, Morioka, Obu, Aichi 474-8522, Japan (e-mail: nakajima@nils.go.jp).",
year = "2000",
month = nov,
doi = "10.1109/10.880106",
language = "英語",
volume = "47",
pages = "1534--1537",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "11",
}