Facial Recognition and Destiny Foreseeing for Specified Persons Using Fuzzy Classification Technique

Abstract:

The purpose of this paper is to accomplish facial recognition and destiny foreseeing in real-time for a specified person using fuzzy classification technique. This system uses CCD camera to take a picture of a specified person in an appropriate distance, and then uses a skin color detection method to extract the facial area by separating skin color scope. After the human face is searched, we locate the facial contour by using the ellipse template method. Find out the locations of eye and lip on the human face, and then to get the complete shape of eye and lip separately by using image processing technique and morphology. In this research, we classify the sample template into some classes by using fuzzy classification technique in advance to accelerate real-time task of the facial recognition, 3D face modeling and destiny foreseeing. Afterward, we apply the-Norm/-Norm minimization criterion to calculate the certificate degree of the recognized face and estimated destiny.

• Periodical: Applied Mechanics and Materials (Volumes 58-60)
• Pages: 2338-2344
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.58-60.2338
• Online since: June 2011
• Authors: Jyue Long Chen, Thong Shing Hwang, Yao Ting Wu, Chih Cheng Peng
• Keywords: Destiny Foreseeing, Facial Recognition, Fuzzy Classification Technique, Skin Color Detection

References

[1] A.L. Yuille, D.S. Cohen P. Hallinan, Feature extraction from faces using deformale templates, " Int, I J. Computer Vision, Vol. 8, pp.99-111, August (1992).

DOI: 10.1007/bf00127169

[2] C. Lin and K.C. Fan, Human Face Detection Using Geometric Triangle Relationship., IEEE Proc. of 15th International Conference on Pattern Recognition, Vol. 2, pp.941-944, (2000).

DOI: 10.1109/icpr.2000.906229

[3] H. Huang, M. Ouhyoung and J. Wu, Automatic feature point extraction on a human face in model-based image coding, Optical Engineering Journal, Vol. 32, pp.1571-1580, July (1993).

DOI: 10.1117/12.143733

[4] K. Sobottka and I. Pitas, Extraction of Facial Regions and Feature and Feature Using Color and Shape Information, IEEE Proc. Of the 13th International Conference on Pattern Recognition, Austria, September (1996).

DOI: 10.1109/icpr.1996.546982

[5] A. Al-Qayedi, and A.F. Clark, An algorithm for face and facial-feature location based on gray-scale information and facial geometry, IEEE Proc. Of 7th International Conference on Image Processing and Its Applications, Vol. 2, pp.625-629, (1999).

DOI: 10.1049/cp:19990398

[6] L. Yin and A. Basu, Nose shape Estimation and Tracking for model based coding, IEEE Proc. Of the International Conference on Acoustics, Speech, and Signal Processing, Vol. 3, pp.1477-1480, (2001).

DOI: 10.1109/icassp.2001.941210

[7] M. Soriano, S. Huovinen, B. Martinkauppi, and M. Laaksonen, Using the Skin Locus to Cope with Changing Illumination Conditions in Color-Based Face Tracking, Proc. of IEEE Nordic Signal Processing Symposium, pp.383-386, (2000).

DOI: 10.1109/icpr.2000.905542

[8] M. Kass, A. Witkin and D. Terzopulos, Snakes, Active Contour Models, " First Int'I Conf. Computer Vision', pp.259-268, (1987).

[9] J.B. Waite and W.J. Welsh, An Application of Active Contour Models to Head Boundarey Location, Proc. First British Machine Vision Conference, pp.407-412, (1990).

DOI: 10.5244/c.4.72

[10] Hisao Ishibuchi, Tomoharu Nakashima and Takehiko Morisawa, Voting in fuzzya rule-base systems for pattern classification problem, , Fuzzy Sets and Systems, Vol. 103, pp.223-238, (1999).

DOI: 10.1016/s0165-0114(98)00223-1