A physiognomy based method for facial feature extraction and recognition
- Publication Type:
- Journal Article
- Citation:
- Journal of Visual Languages and Computing, 2017, 43 pp. 103 - 109
- Issue Date:
- 2017-12-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 1-s2.0-S1045926X17302008-main.pdf | Published Version | 1.56 MB |
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© 2017 Elsevier Ltd 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.
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