Lines of Connectivity-Face Model for Recognition of the Human Facial Expressions

Research areas:

• Volume 2,Issue 2, Sept. 2013

Year:

2013

Type of Publication:

Article

Keywords:

Lines of Connectivity, Face Model, Face Detection, Facial Expressions, Feature Extraction

Authors:

Dileep M. R.; Ajit Danti

Journal:

IJAIM

Volume:

2

Number:

2

Pages:

41-46

Month:

September

ISSN:

2320-5221

Abstract:

Facial Expression of the human being is the one which is the outcome of the inner feelings of the mind. Facial expressions are the facial changes in response to a person’s internal emotional states and intentions. In this paper, the faces are detected by Triangular Features using Lines-Of-Connectivity face model. The Lines-of-Connectivity (LC) face model is a geometric approach in which the spatial relationships among the facial features are determined for the purpose of facial expressions. In the proposed method, the three facial expressions viz Happy, Sad and Anger of the different persons are recognized using the geometrical features of the face like triangular features, Orientation, Perimeter, and Distance. The experimental results and the comparative analysis demonstrate the effectiveness of this approach.

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