A Neural Network Based Classifier for a Segmented Facial Expression Recognition System Based on Haar Wavelet Transform

thekra abbas

A Neural Network Based Classifier for a Segmented Facial Expression Recognition System Based on Haar Wavelet Transform

thekra abbas * §

Contact

§ Central South University

A Neural Network Based Classifier for a Segmented Facial Expression Recognition System Based on Haar Wavelet Transform

Article Fingerprint

ReserarchID

CST2Y9E9

A Neural Network Based Classifier for a Segmented Facial Expression Recognition System Based on Haar Wavelet Transform Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Automatic recognition of facial expressions is a vital component of natural human-machine interfaces. Facial expressions convey information about one’s emotional state and helps regulate our social norms by helping detect and interpret a scene. In this paper, we propose a novel face expression recognition scheme based on Haar discrete wavelet transform and a neural network classifier. First, the sample image undergoes preprocessing where noise is removed using binary image processing techniques. Then feature vectors are extracted using DWT from corresponding pixels in the image. The extracted image pixel data are used as the input to the neural network. We demonstrate experimentally that when wavelet coefficients are fed into a back-propagation based neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. Based on our experimental results, the proposed scheme gives satisfactory results.

References

17 Cites in Article

Reference Format

1. B Fasel,J Luettin (2003). Automatic facial expression analysis": a survey. Pattern Recognition, 36(1), 259-275.
2. L Chen,H Tao,T Huang,T Miyasato,R Nakatsu (1998). Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge. Proc. IEEE Workshop on Multimedia Signal Processing, 83-88.
3. L De Silva,Pei Chi Ng (2000). Bimodal emotion recognition. Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 332-335.
4. Paul Ekman,Wallace Friesen (1978). Facial Action Coding System. Facial Action Coding System
5. S Dongcheng,Jieqing (2010). The Method of Facial Expression Recognition Based on DWT-PCA/LDA. 3rd International Congress on Image and Signal Processing
6. Wang Zhiliang,Wang Liu Fang,Li (2006). Survey of Facial Expression Recognition Based on Computer Vision[J]. Computer Engineering, 32(11), 231-233.
7. Elham Bagherian,Rahmita Rahmat (2008). Facial feature extraction for face recognition: a review. 2008 International Symposium on Information Technology, 2, 1-9.
8. Xiaoyi Feng (2004). Facial expression recognition based on local binary patterns and coarse-to-fine classification. Proceedings of the The Fourth International Conference on Computer and Information Technology (CIT'04), 178-183.
9. P Tsai,T Jan (2005). Expression-Invariant Face Recognition System Using Subspace Model Analysis. 2005 IEEE International Conference on Systems, Man and Cybernetics, 2, 1712-1717.
10. Zhang Zhang Nan,Youwei (2006). Inducement analysis in facial expression recognition. The 8th International Conference on Signal Processing, III
11. F Wallhoff,B Schuller,M Hawellek,G Rigoll (2006). Efficient recognition of authentic dynamic facial expressions on FEEDTUM database. IEEE Conference on Multimedia and Expo (ICME'06), 493-496.
12. Irene Kotsia,Ioan Buciu,Ioannis Pitas (2008). An analysis of facial expression recognition under partial facial image occlusion. transanctions on Image and Vision Computing, 26(7), 1052-1067.
13. J Whitehill,M Bartlett,J Movellan (2008). Automatic facial expression recognition for intelligent tutoring systems. proceedings of IEEE computer scociety workshop on Computer Vision and Pattern Recognition, 1-6.
14. Shenchuan Tai,Hungfu Huang (2009). Facial Expression Recognition in Video Sequences. Lecture Notes in Computer Science, 1026-1033.
15. M Murugappan,R Nagarajan,Sazali Yaacob (2009). Comparison of different wavelet features from EEG signals for classifying human emotions. 2009 IEEE Symposium on Industrial Electronics & Applications, 14, 836-841.
16. M Satiyan,R Nagarajan (2010). Recognition of facial expression using Haar-like feature extraction method. Proceedings of the 3 rd IEEE International Conference on Intelligent and Advanced Systems (ICIAS), 1-4.
17. A James,Freeman,M David,Sukapra (1991). Neural Networks Algorithms, Applications and Programming Techniques. Neural Networks Algorithms, Applications and Programming Techniques

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

thekra abbas. 1970. "A Neural Network Based Classifier for a Segmented Facial Expression Recognition System Based on Haar Wavelet Transform". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 7).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 12 Issue 7

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Discrete wavelet transform Facial expression recognition Neural network classifier

Classification

GJCST Classification I.2.6

Submission ReceivedApril 13, 2012
Peer Review Double Blind
Handling Editor
Accepted May 4, 2012
Published April 4, 2012

Version of record

v1.2

Issue date

April 4, 2012

Language

English

Order Article Reprint

Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 178

Country: China

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Ongalo P. N. Fedha, Huang Dong Jun, Richard Rimiru (PhD/Dr. count: 1)

View Count (all-time): 340

Total Views (Real + Logic): 5836

Total Downloads (simulated): 515

Publish Date: 2012 05, Tue

Monthly Totals (Real + Logic):

Month 1: 27 views
Month 2: 33 views
Month 3: 46 views
Month 4: 27 views
Month 5: 44 views
Month 6: 16 views
Month 7: 48 views
Month 8: 47 views
Month 9: 33 views
Month 10: 51 views
Month 11: 43 views
Month 12: 27 views
Month 13: 36 views
Month 14: 15 views
Month 15: 35 views
Month 16: 43 views
Month 17: 34 views
Month 18: 26 views
Month 19: 26 views
Month 20: 34 views
Month 21: 22 views
Month 22: 25 views
Month 23: 21 views
Month 24: 23 views
Month 25: 42 views
Month 26: 41 views
Month 27: 19 views
Month 28: 22 views
Month 29: 40 views
Month 30: 35 views
Month 31: 12 views
Month 32: 20 views
Month 33: 49 views
Month 34: 24 views
Month 35: 20 views
Month 36: 18 views
Month 37: 33 views
Month 38: 44 views
Month 39: 45 views
Month 40: 36 views
Month 41: 35 views
Month 42: 31 views
Month 43: 20 views
Month 44: 16 views
Month 45: 23 views
Month 46: 39 views
Month 47: 46 views
Month 48: 18 views
Month 49: 36 views
Month 50: 38 views
Month 51: 24 views
Month 52: 36 views
Month 53: 19 views
Month 54: 27 views
Month 55: 11 views
Month 56: 18 views
Month 57: 21 views
Month 58: 26 views
Month 59: 49 views
Month 60: 26 views
Month 61: 32 views
Month 62: 16 views
Month 63: 22 views
Month 64: 26 views
Month 65: 20 views
Month 66: 48 views
Month 67: 25 views
Month 68: 28 views
Month 69: 28 views
Month 70: 19 views
Month 71: 36 views
Month 72: 26 views
Month 73: 30 views
Month 74: 27 views
Month 75: 28 views
Month 76: 21 views
Month 77: 43 views
Month 78: 16 views
Month 79: 18 views
Month 80: 34 views
Month 81: 24 views
Month 82: 24 views
Month 83: 40 views
Month 84: 27 views
Month 85: 42 views
Month 86: 43 views
Month 87: 19 views
Month 88: 21 views
Month 89: 27 views
Month 90: 18 views
Month 91: 37 views
Month 92: 30 views
Month 93: 42 views
Month 94: 23 views
Month 95: 36 views
Month 96: 33 views
Month 97: 29 views
Month 98: 32 views
Month 99: 34 views
Month 100: 27 views
Month 101: 33 views
Month 102: 31 views
Month 103: 18 views
Month 104: 31 views
Month 105: 30 views
Month 106: 29 views
Month 107: 30 views
Month 108: 23 views
Month 109: 29 views
Month 110: 34 views
Month 111: 31 views
Month 112: 40 views
Month 113: 25 views
Month 114: 23 views
Month 115: 36 views
Month 116: 36 views
Month 117: 27 views
Month 118: 40 views
Month 119: 25 views
Month 120: 25 views
Month 121: 40 views
Month 122: 30 views
Month 123: 34 views
Month 124: 25 views
Month 125: 34 views
Month 126: 18 views
Month 127: 37 views
Month 128: 33 views
Month 129: 29 views
Month 130: 31 views
Month 131: 33 views
Month 132: 17 views
Month 133: 39 views
Month 134: 33 views
Month 135: 39 views
Month 136: 17 views
Month 137: 21 views
Month 138: 36 views
Month 139: 26 views
Month 140: 24 views
Month 141: 34 views
Month 142: 26 views
Month 143: 43 views
Month 144: 16 views
Month 145: 40 views
Month 146: 31 views
Month 147: 19 views
Month 148: 20 views
Month 149: 34 views
Month 150: 40 views
Month 151: 40 views
Month 152: 21 views
Month 153: 43 views
Month 154: 29 views
Month 155: 26 views
Month 156: 39 views
Month 157: 38 views
Month 158: 28 views
Month 159: 23 views
Month 160: 32 views
Month 161: 40 views
Month 162: 42 views
Month 163: 24 views
Month 164: 26 views
Month 165: 33 views
Month 166: 25 views
Month 167: 42 views
Month 168: 32 views
Month 169: 32 views
Month 170: 53 views
Month 171: 44 views
Month 172: 32 views
Month 173: 59 views
Month 174: 45 views

Total Views: 5.8K

Total Downloads: 515

All Trends