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Positioning corners of human mouth based on local gradient operator

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Abstract

Face recognition has widespread applications in monitoring system, public security and home entertainment etc.. However, in practical application, there are many problems needed to be solved in face recognition technology. This paper presents a method to detect and locate accurately facial feature points based on local gradient operator. With Adaboost algorithm, we first detect roughly the mouth area in the face image, and then extract contours of mouth using local gradient operator. Finally, we use Ostu threshold to extract the binary contour around mouth corners according to the precise location of chain code tracing. Experimental results show that local gradient operator can detect and locate rapidly and accurately human mouth, and it is relatively robust against change of facial expressions as well as noise, which helps to improve face recognition rate.

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Acknowledgments

This work is sponsored by Applied Basic Research Programs of Wuhan City (Grant No. 2014060101010029), and Natural Science Foundation of Hubei Province of China (Grant No. 2011CDB449).

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Authors and Affiliations

  1. International School of Software, Wuhan University, Wuhan, China

    Yulin Wang & Yixin Chen

  2. School of Computing, National University of Singapore, Singapore, Singapore

    Wenjia Ding

Authors
  1. Yulin Wang
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  2. Wenjia Ding
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  3. Yixin Chen
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Correspondence to Yixin Chen.

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Wang, Y., Ding, W. & Chen, Y. Positioning corners of human mouth based on local gradient operator. Multimed Tools Appl 75, 11815–11829 (2016). https://doi.org/10.1007/s11042-015-2627-0

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  • DOI: https://doi.org/10.1007/s11042-015-2627-0

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