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

Abstract:

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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.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

2338-2344

DOI:

10.4028/www.scientific.net/AMM.58-60.2338

Citation:

J. L. Chen et al., "Facial Recognition and Destiny Foreseeing for Specified Persons Using Fuzzy Classification Technique", Applied Mechanics and Materials, Vols. 58-60, pp. 2338-2344, 2011

Online since:

June 2011

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Price:

$35.00

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