Skip to main content

Eyes Detection Combined Feature Extraction and Mouth Information

  • Conference paper
  • First Online:
Information Sciences and Systems 2013

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 264))

  • 1138 Accesses

Abstract

In this paper, we propose an eye localization approach combining facial feature extraction and mouth information in color image. This approach includes feature extraction, face mask label, mouth location and eye region detection. In order to quickly obtain facial information, the coarse facial region is first localized by V-J filter, and then the compact facial region by our proposed filter can be decide and non-face region will be filtered out. Next, we label a face mask to modify skin region, extract the facial features and locate mouth information. Finally, the position of two eyes is detected based on the prior information. We present the experimental results on the various cases, including profile face, frontal face, and whether glasses or not, to demonstrate the effectiveness of our method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Xu Y, Goto S (2011) Proposed optimization for AdaBoost-based face detection. In: 3rd International Conference on Digital Image Processing, pp 800907–1-5

    Google Scholar 

  2. Rahman H, Jhumur F, Yusuf SU, Das T, Ahmad M (2012) An efficient face detection in color images using eye mouth triangular approach. In: IEEE Conference of Informatics, Electronics and Vision. pp 530–535

    Google Scholar 

  3. Li L, Chen Y, Xin L (2010) Driver fatigue detection based on mouth information. In: 8th International World Congress on Intelligence Control and Automation, pp 6058–6062

    Google Scholar 

  4. Montazeri M, Nezamabadi-pour H (2011) Automatic extraction of eye field from a gray intensity image using intensity filtering and hybrid projection function. In: IEEE Conference of Communications, Computing and Control Application. pp 1–5

    Google Scholar 

  5. Lu Y, Li C (2010) Recognition of driver eyes’ states based on variance projections function. In: IEEE Conference of 3rd International Congress on Image and, Signal Processing. pp 1919–1922

    Google Scholar 

  6. Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. In: IEEE Computer Vision and Pattern Recognition. pp 511–518

    Google Scholar 

  7. Huang HY, Lin YC (2012) An approach for mouth localization using face feature extraction and projection technique. In: IEEE Conference of International Computer Symposium. pp 247–257

    Google Scholar 

  8. Tseng YC (2005) DSP based real-time human face recognition system. National Sum Yat-Sen University, Taiwan, Master Thesis

    Google Scholar 

Download references

Acknowledgments

This work was supported in part by the National Science Council of Republic of China under Grant No. NSC100-2628-E-150-003-MY2.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hui-Yu Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Huang, HY., Lin, YC. (2013). Eyes Detection Combined Feature Extraction and Mouth Information. In: Gelenbe, E., Lent, R. (eds) Information Sciences and Systems 2013. Lecture Notes in Electrical Engineering, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-01604-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-01604-7_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01603-0

  • Online ISBN: 978-3-319-01604-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics