Intelligent Facial Emotion Recognition System Using Linear Binary Pattern (LBP)

Authors(2) :-Khem Singh Solanki, Yatendra Singh Makwana

Facial expression and recognition is one of the hot topic of recent time as it find application in One or other form such as Bio metric, emotion analysis, image retrieval etc. Different method and technique is adopted for facial and emotion recognition. Emotion recognition is done in basically two parts firstly, pre-processing and secondly post processing parts. Detection and extraction of images from the pre processing parts where as post processing parts aims to extract specific feature from pre-processed image and recognise the facial or emotion of human being. Our aim is to recognize the emotion of human being from seven categories of expression such Sadness, Happy, Fear, Surprise, Angry, Disgust and neutral. For this purpose we used LBP as method for feature extraction and Back propagation as classier for emotion recognition of face expression.

Authors and Affiliations

Khem Singh Solanki
Proffessor, Electronics & communication, engineering department, Ujjain Engineering College, Ujjain, Madhya Pradesh, India
Yatendra Singh Makwana
PG student, Department of electronics and communication engineering, UEC, Ujjain , Madhya Pradesh, India

Facial expression and recognition, LBP, Gabor Transformation, Haar Wavelet

  1. Tao Chen and Mikio Takagi. Image binarization by back propagation algorithm. International Archives of Photogrammetric and Remote Sensing, 29:345{345, 1993.
  2. Ryszard S. Choras. Feature extraction for cbir and biometrics applications. In Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science Volume 7, ACS'07, pages 1{9, Stevens Point, Wisconsin, USA, 2007. World Scientific and Engineering Academy and Society (WSEAS).
  3. Dewan Md. Farid, Li Zhang, Alamgir Hossain, Chowdhury Mo_zur Rahman, Rebecca Stra-chan, Graham Sexton, and Keshav Dahal. An adaptive ensemble classifier for mining concept drifting data streams. Expert Systems with Applications, 40(15):5895 { 5906, 2013.
  4. S. L. Happy and A. Routray. Automatic facial expression recognition using features of salient facial patches. IEEE Transactions on A_ective Computing, 6(1):1{12, Jan 2015.
  5. N. A. Mahmon and N. Ya'acob. A review on classi_cation of satellite image using artificial neural network (ann). In 2014 IEEE 5th Control and System Graduate Research Colloquium, pages 153{157, Aug 2014.
  6. Angelos P. Markopoulos, Sotirios Georgiopoulos, and Dimitrios E. Manolakos. On the use of back propagation and radial basis function neural networks in surface roughness prediction. Journal of Industrial Engineering International, 12(3):389{400, 2016.
  7. Siew Chin Neoh, Li Zhang, Kamlesh Mistry, Mohammed Alamgir Hossain, Chee Peng Lim,Nauman Aslam, and Philip Kinghorn. Intelligent facial emotion recognition using a layered encoding cascade optimization model. Applied Soft Computing, 34:72 { 93, 2015.
  8. O. Nikisins and M. Greitans. Local binary patterns and neural network based technique for robust face detection and localization. In 2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG), pages 1{6, Sept 2012.
  9. M. Owayjan, R. Achkar, and M. Iskandar. Face detection with expression recognition using  artificial neural networks. In 2016 3rd Middle East Conference on Biomedical Engineering (MECBME), pages 115{119, Oct 2016.
  10. Ebenezer Owusu, Yonzhao Zhan, and Qi Rong Mao. An svm adaboost facial expression recognition system. Applied Intelligence, 40(3):536{545, 2014.29
  11. Buse Melis Ozyildirim and Mutlu Avci. Generalized classifier neural network. Neural Networks, 39:18 { 26, 2013.
  12. A. Verikas and M. Bacauskiene. Feature selection with neural networks. Pattern Recognition Letters, 23(11):1323 { 1335, 2002.
  13. Z. Wang and Z. Xie. Infrared face recognition based on local binary patterns and kruskal-wallis test. In 2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS), pages 185{188, June 2014.linear regression classifier etc.

Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 176-181
Manuscript Number : IJSRSET173624
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Khem Singh Solanki, Yatendra Singh Makwana, " Intelligent Facial Emotion Recognition System Using Linear Binary Pattern (LBP), International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.176-181, September-October-2017.
Journal URL :

Article Preview