Gloved Finger Recognition by Curve Matching

DOI

10.2991/icmcm-16.2016.42How to use a DOI?

Keywords

gloved finger recognition; contour extraction; curve fitting; curvature integration; similarity assessment; curve matching

Abstract

Finger recognition is an important basis of natural human-computer interaction, but existing researches are mainly on bare-hand finger recognition. Due to the fact that people need to wear gloves because of cold weather, working environment, etc, this paper presents a method to recognize gloved fingers by curve matching. This method firstly extracts contour curve from image edge. After fitting the contour curve, it calculates curvature integration of the fitted curve and then assesses similarity between the curvature integration and finger template's. Finally, it recognizes fingers and positions fingertips according to the assessment. And the finger template which is used to match contour curve can be chosen at random without training. The experiment shows that this method is effective in recognizing fingers and positioning fingertips under the condition of scale variations, rotation variations and affine transformations, whether the subjects wear gloves or not.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guangqiang Shu
AU  - Tao Lin
PY  - 2016/12
DA  - 2016/12
TI  - Gloved Finger Recognition by Curve Matching
BT  - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
PB  - Atlantis Press
SP  - 207
EP  - 214
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmcm-16.2016.42
DO  - 10.2991/icmcm-16.2016.42
ID  - Shu2016/12
ER  -