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Finger recognition scheme using finger valley features and distance mapping techniques

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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.

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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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Authors and Affiliations

  1. Department of Electronic Engineering, National Chin-Yi University of Technology, 57, Sec. 2, Zhongshan Rd., Taiping Dist, Taichung, 41170, Taiwan

    Wen-Yuan Chen & Yu-Ming Kuo

  2. College of Electric and Control Engineering, Xi’an University of Science and Technology, 58 Yan-Ta Road, Xi’an City, Shaanxi Province, 710054, China

    Mei Wang

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  1. Wen-Yuan Chen
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  2. Mei Wang
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  3. Yu-Ming Kuo
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Correspondence to Mei Wang.

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Chen, WY., Wang, M. & Kuo, YM. Finger recognition scheme using finger valley features and distance mapping techniques. Multimed Tools Appl 77, 10899–10920 (2018). https://doi.org/10.1007/s11042-017-5383-5

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  • DOI: https://doi.org/10.1007/s11042-017-5383-5

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