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A physiognomy based method for facial feature extraction and recognition

journal contribution
posted on 2023-05-22, 03:21 authored by Liu, Y, Huang, ML, Huang, W, Liang, J
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.

History

Publication title

Journal of Visual Languages and Computing

Volume

43

Pagination

103-109

ISSN

1045-926X

Department/School

School of Information and Communication Technology

Publisher

Academic Press Ltd Elsevier Science Ltd

Place of publication

24-28 Oval Rd, London, England, Nw1 7Dx

Rights statement

© 2017 Elsevier Ltd. All rights reserved.

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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