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Multimedia Tools and Applications

, Volume 77, Issue 9, pp 10899–10920 | Cite as

Finger recognition scheme using finger valley features and distance mapping techniques

  • Wen-Yuan Chen
  • Mei Wang
  • Yu-Ming Kuo
Article
  • 237 Downloads

Abstract

The gesture recognition in computer vision on life, work and the application of technology products occupy an important position. In this paper, we use the finger valleys, distance mapping and triangular method (FVDMTM) to precisely recognize the fingers. FVDMTM adopt three novel ideas: first, we use the finger valleys to distinguish each finger. It is robust against intentional deformation of the fingers. Second, we employ a distance mapping method effectively to detect the valleys between the fingers. Third: we use the center-of-gravity of the palm as the original point for angle calculation of each finger by the triangular method. This let us to get precise finger angles of the test image. The experimental results demonstrate that our scheme is an effective and correct method for finger recognition.

Keywords

Finger recognition Finger valleys Distance mapping Triangular method Palm detection 

Notes

Acknowledgments

This work was partly supported by the National Science Council, Taiwan (R.O.C.) under contract NSC 101-2221-E-167-034-MY2, and the Key Scientific and Technological Project of Shaanxi Province (2016GY-040), China.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of Electronic EngineeringNational Chin-Yi University of TechnologyTaichungTaiwan
  2. 2.College of Electric and Control EngineeringXi’an University of Science and TechnologyXi’an CityChina

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