Skip to main content
SpringerLink
Log in

Extraction and Analysis of Expression from a Captured Face

  • Conference paper
  • First Online:
Proceedings of the International Conference on Computing and Communication Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 24))

Abstract

With the help of computer science in today’s world many advances have been made in the field of facial expression recognition. It is considered as an important measure of social interactions and there are many applications that can be helpful to human in many ways as facial expressions not only show the emotional status of an individual but also other mental activities as well. To develop such a system is a challenging task as it involves learning and understanding of expressions of human which varies from time to time. In this paper, a method on facial expression analysis has been proposed where face detection was done using RGB color model and feature classification using Gabor filter.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Dam, A.V.: Beyond Wimp. In: IEEE Computer Graphics and Applications, Vol. 20, No. 1, pp. 50–51, IEEE press, CA (2000).

    Google Scholar 

  2. Bruce, V.: What the Human Face Tells the Human Mind: Some Challenges for the Robot-Human Interface. In: Proc. IEEE International Workshop on Robot and Human Communication, pp. 44–51, IEEE Press, Tokyo (1992).

    Google Scholar 

  3. Rani, J., Garh, K.: Emotion Detection Using Facial Expressions-A Review, In: International Journal of Advanced research in Computer Science and Software Engineering, vol. 4, pp. 465–466 (2014).

    Google Scholar 

  4. Tatepamulwar, C.B., Pawar, V.P., Fadewar, H.S.: Techniques for Facial Expression Recognition. In: International Journal of Advanced Research in Computer Science and Software Engineering Paper, Vol. 4, Issue 3, pp. 56 (2014).

    Google Scholar 

  5. Hemalatha, G., Sumathi, C.P.: A Study of Techniques for Facial Detection and Expression Classification. In: International Journal of Computer Science & Engineering Survey (IJCSES) Vol. 5, No. 2, pp. 30–31 (2014).

    Google Scholar 

  6. Surbhi, M., Arora, V.: A Face Identification Technique for Human Facial Image. In: International Journal of Computer Science and Information Technologies (IJCSIT), vol. 3, pp. 5391 (2012).

    Google Scholar 

  7. Happy, S.L., George, Routray. A.: A real time facial expression classification system using Local Binary Patterns. In: Intelligent Human Computer Interaction (IHCI), 4th International Conference on IEEE. (2012).

    Google Scholar 

  8. Wang, Y., Ai, H., Wu, B., Huang, C.: Real time facial expression recognition with adaboost. In: Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference, Vol. 3, pp. 926–929, IEEE Press, Cambridge (2014).

    Google Scholar 

  9. Soyel., Hamit., Demirel, H.; Optimal feature selection for 3D facial expression recognition using coarse-to- fine classification. In: Turkish Journal of Electrical Engineering & Computer Sciences, vol. 18, Turkey (2010).

    Google Scholar 

  10. Gupta, V., Sharma, D.: A Study of Various Face Detection Methods: In: International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 5, pp. 6694 (2014).

    Google Scholar 

  11. Kakumanu, P., Makrogiannis, S., Bourbakis, N.; A survey of skin-color modeling and detection Methods. In: Pattern recognition, Vol. 40, No. 2, pp. 110–117 (2007).

    Google Scholar 

  12. Hsieh, C.C., Liou, D.H, Lai, W.R.: Enhanced Face Based Adaptive Skin Color Model. In: Journal of Applied Science and Engineering, Vol. 15, No. 2, pp. 167–168 (2012).

    Google Scholar 

  13. Hajraoui, A., Sabri, M.: Face Detection Algorithm based on Skin Detection, Watershed Method and Gabor Filter. In: International Journal of Computer Applications, Vol. 94, No 6, Morocco, pp. 34 (2014).

    Google Scholar 

  14. Kaur, A., Kranthi, B.V.: Comparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentation. In: International Journal of Applied Information Systems (IJAIS) – ISSN: 2249-0868 Foundation of Computer Science FCS, Vol. 3– No. 4, pp. 30, New York (2013).

    Google Scholar 

  15. Xiang, F.H., Suandi, S.A.: Fusion of Multi Color Space for Human Skin Region Segmentation. In: International Journal of Information and Electronics Engineering, Vol. 3, No. 2, pp. 172 (2013).

    Google Scholar 

  16. Tian, D. Ping.: A review on image feature extraction and representation techniques. In: International Journal of Multimedia and Ubiquitous Engineering, vol 8, pp. 385, 387–388. (2013).

    Google Scholar 

  17. Jema, Y.B., Khanfir, S.: Automatic local Gabor features extraction for face recognition. In: (IJCSIS) International Journal of Computer Science and Information Security, Vol. 3, No. 1 (2009).

    Google Scholar 

  18. Haghighat, M., Zonouz, S. Mottaleb. M.: CloudID Trustworthy cloud-based and cross-enterprise biometric Identification. In: Expert Systems with Applications, vol. 42, pp. 7909 (2015).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Technology, North Eastern Hill University, Shillong, 793022, India

    Imayanmosha Wahlang, Sunita Warjri & Arnab Kumar Maji

Authors
  1. Imayanmosha Wahlang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sunita Warjri
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Arnab Kumar Maji
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Imayanmosha Wahlang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India

    Goutam Saha

  3. Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India

    Debdatta Kandar

  4. Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India

    Arnab Kumar Maji

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wahlang, I., Warjri, S., Maji, A.K. (2018). Extraction and Analysis of Expression from a Captured Face. In: Mandal, J., Saha, G., Kandar, D., Maji, A. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 24. Springer, Singapore. https://doi.org/10.1007/978-981-10-6890-4_34

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6890-4_34

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6889-8

  • Online ISBN: 978-981-10-6890-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation