Abstract
In certain cases, the only evidence to identify terrorists, who are seen in digital images or videos is their hands’ shapes, particularly, the victory sign as performed by many of them when they intentionally hide their faces, and/or distort their voices. This paper proposes new methods to identify those persons for the first time from their victory sign. These methods are based on features extracted from the fingers areas using shape moments in addition to other features related to fingers contours. To evaluate the proposed methods and to show the feasibility of this study we have created a victory sign database for 400 volunteers using a mobile phone camera. The experimental results using different classifiers show encouraging identification results; as the best precision/recall were achieved by merging normalized features from both methods using linear discriminate analysis classifier with 96.6% precision and 96.3 recall. Such a high performance achieved by the proposed methods shows their great potential to be applied for terrorists’ identification from their victory sign.
Highlights
In the last two decades, the number of terrorist attacks has increased significantly
The hand shape biometric can be considered as a set of methods and techniques used for identifying persons based on their hand silhouette and geometric features, these include and not limited to fingers’ lengths, widths, ratios, angles, etc
These features; among others are extracted from acquired hand images; the extracted features are compared to stored templates for person identification (Duta, 2009)
Summary
In the last two decades, the number of terrorist attacks has increased significantly. Political, religious, or ideological reasons, these cruel actions were commenced by different terrorists from different races religions and countries (Aldahadha, 2018). Those who appear in images and videos occupying a large space in the media stream, covering every single part of their bodies, without making sounds or with distorted voices, leaving nothing to expose their identity, thinking that there “is a place to hide” in such a digital world (Bradbury, 2005). The hand shape biometric can be considered as a set of methods and techniques used for identifying persons based on their hand silhouette and geometric features, these include and not limited to fingers’ lengths, widths, ratios, angles, etc. Research on hand shape biometrics is attractive for the following reasons: 1) User-friendly (non-intrusive), using low-cost cameras such as mobile phones’ cameras (Amayeh, et al, 2006; Kumar, et al, 2006)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
