Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
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Article Number | 03038 | |
Number of page(s) | 6 | |
Section | Digital Signal and Image Processing | |
DOI | https://doi.org/10.1051/matecconf/201817303038 | |
Published online | 19 June 2018 |
Identity Recognition Algorithm Based on Static Gait Geometrical and Pressure Data
Hefei Institute for Public Safety Research, Tsinghua University, Hefei, Anhui, 230601, P.R.CHINAa
* Corresponding author: wujinmo@tsinghua-hf.edu.cn
Currently, pattern recognition technique is widely applied in human identity recognition while there are shortages remaining in most kinds of such techniques. In order to overcome these problems, a novel algorithm is proposed to apply in identity recognition course in new field-static gait recognition field. Two combined features are going for static gait recognition: the distance between each part of center pressure and overall foot and the side length of outline triangle of human foot. Then through the comparison of different classifier, the best course for recognition can be obtained.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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