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Abstract

This paper proposes a novel calculation method of personality based on Chinese physiognomy. The proposed solution combines ancient and modern physiognomy to understand the relationship between personality and facial features and to model a baseline to shape facial features. We compute a histogram of image by searching for threshold values to create a binary image in an adaptive way. The two-pass connected component method indicates the feature’s region. We encode the binary image to remove the noise point, so that the new connected image can provide a better result. According to our analysis of contours, we can locate facial features and classify them by means of a calculation method. The number of clusters is decided by a model and the facial feature contours are classified by using the k-means method. The validity of our method was tested on a face database and demonstrated by a comparative experiment.

Item Type:	Article
Authors/Creators:	Liu, Y and Huang, ML and Huang, W and Liang, J
Keywords:	facial feature extraction, facial feature recognition, physiognomy
Journal or Publication Title:	Journal of Visual Languages and Computing
Publisher:	Academic Press Ltd Elsevier Science Ltd
ISSN:	1045-926X
DOI / ID Number:	10.1016/j.jvlc.2017.09.006
Copyright Information:	© 2017 Elsevier Ltd. All rights reserved.
Related URLs:	Google Scholar: Huang, W UTAS Profile: Huang, W
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