A Study on the Correlationship Analysis Between Big 5 Model Types and Face Feature for Interview System Application - Focusing on Men in the 20's 


Vol. 36,  No. 2, pp. 168-175, Feb.  2011


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  Abstract

In modern society, human relationships has been received much attention as important element to judge the success as well as the social life of the individual. To respond to these changing times has been used various ways to maintain an appropriate relationship that each other's character can be predicted. In this paper, we should be carried out a study on correlation analysis and features of five-character types to extract shape of philtrum, mouth, ears in facial image of Men in the 20's for Interview system application. From this, we extracted to area of philtrum, mouth, ears by Visual C++ to face and side image. Then we performed analysis, comparison a group of 5-character types to find a result according to philtrum rate, mouth size, shape of ears. As a result, we drew a significance through morphological results by philtrum rate, mouth size, shape of ears as five-character types.

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  Cite this article

[IEEE Style]

B. Kim and D. Cho, "A Study on the Correlationship Analysis Between Big 5 Model Types and Face Feature for Interview System Application - Focusing on Men in the 20's," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 2, pp. 168-175, 2011. DOI: .

[ACM Style]

Bong-hyun Kim and Dong-uk Cho. 2011. A Study on the Correlationship Analysis Between Big 5 Model Types and Face Feature for Interview System Application - Focusing on Men in the 20's. The Journal of Korean Institute of Communications and Information Sciences, 36, 2, (2011), 168-175. DOI: .

[KICS Style]

Bong-hyun Kim and Dong-uk Cho, "A Study on the Correlationship Analysis Between Big 5 Model Types and Face Feature for Interview System Application - Focusing on Men in the 20's," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 2, pp. 168-175, 2. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880