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Facial feature extraction and recognition for traditional Chinese physiognomy

Citation

Liu, Y and Liang, J and Huang, ML and Huang, W, Facial feature extraction and recognition for traditional Chinese physiognomy, Proceedings of the 20th International Conference on Information Visualisation (iV 2016), 19-22 July 2016, Lisbon, Portugal, pp. 408-412. ISBN 978-1-4673-8942-6 (2016) [Refereed Conference Paper]


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Copyright Statement

Copyright 2016

DOI: doi:10.1109/IV.2016.37

Abstract

We propose a novel calculation method of personality based on the Chinese physiognomy. The proposed solution combines the ancient and the modem physiognomy to summarize the corresponding relation between the personality and facial feature and model the baseline to shape the face feature. We compute histogram of image by searching for the threshold values to create a binary image in an adaptive way. The two-pass connected component method indicates the feature region. We encode the binary image to remove the noise point, so that the new connected image can provide a better result. The method was tested on ORL face database.

Item Details

Item Type:Refereed Conference Paper
Keywords:face reading, physiognomy, personality
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Computer-Human Interaction
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
Author:Huang, W (Dr Tony Huang)
ID Code:112924
Year Published:2016
Deposited By:Computing and Information Systems
Deposited On:2016-12-04
Last Modified:2017-11-13
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