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Exploring the Potential of Facial Skin Regions for the Provision of Identity Information

Alsufyani, Hamed, Hoque, Sanaul, Deravi, Farzin (2016) Exploring the Potential of Facial Skin Regions for the Provision of Identity Information. In: 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016). . IET ISBN 978-1-78561-400-2. (doi:10.1049/ic.2016.0084) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:58178)

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This work presents a novel framework to investigate the possibility of using texture information from facial skin regions for biometric person recognition. Such information will be practically useful when the entire facial image is not available for identifying the individuals. Four facial regions have been investigated (i.e. forehead, right cheek, left cheek, and chin) since they are relatively easy to distinguish in frontal images. Facial landmarks are automatically detected to facilitate the extraction of these facial regions of interest. A new skin detection technique is applied to identify regions with significant skin content. Each such skin regions are then processed independently using features based on Local Binary Patterns and Gabor wavelet filters. Feature fusion is then used prior to classification of the images. Experiments were carried out using the publicly available Skin Segmentation database and the XM2VTS databases to evaluate the skin detection technique and the biometric recognition performances respectively. The results indicate that the skin detection algorithm provided an acceptable results when compared with other state-of-the-art skin detection algorithms. In addition, the forehead and the chin regions where found to provide a rich source of biometric information.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1049/ic.2016.0084
Uncontrolled keywords: Face recognition, skin texture, skin detection, facial marks, skin biometrics
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Farzin Deravi
Date Deposited: 27 Oct 2016 15:09 UTC
Last Modified: 17 Aug 2022 12:21 UTC
Resource URI: (The current URI for this page, for reference purposes)
Hoque, Sanaul:
Deravi, Farzin:
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