Victory sign biometrie for terrorists identification: Preliminary results

Ahmad Hassanat, Eman Btoush, M. Abbadi, Bassam M. Al-Mahadeen, Mouhammd Al-Awadi, Khalil I. Mseidein, Amin M. Almseden, A. Tarawneh, M. B. Alhasanat, V. B. Surya Prasath, Fatimah A. Al-alem
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引用次数: 14

Abstract

Covering the face and all body parts, sometimes the only evidence to identify a person is their hand geometry, and not the whole hand-only two fingers (the index and the middle fingers) while showing the victory sign, as seen in many terrorists videos. This paper investigates for the first time a new way to identify persons, particularly (terrorists) from their victory sign. We have created a new database in this regard using a mobile phone camera, imaging the victory signs of 50 different persons over two sessions. Simple measurements for the fingers, in addition to the Hu Moments for the areas of the fingers were used to extract the geometric features of the shown part of the hand shown after segmentation. The experimental results using the KNN classifier with three different distance metrics were encouraging for most of the recorded persons; with about 40% to 93% total identification accuracy, depending on the features, distance metric and K used.
胜利标志生物特征识别恐怖分子:初步结果
遮住脸部和身体的所有部位,有时唯一的识别证据是他们的手的几何形状,而不是整个手-只有两个手指(食指和中指),同时显示胜利的手势,就像在许多恐怖分子的视频中看到的那样。本文首次研究了一种从胜利标志中识别人物,特别是恐怖分子的新方法。在这方面,我们使用手机相机创建了一个新的数据库,对50个不同的人在两次会议上的胜利迹象进行成像。对手指进行简单的测量,除了对手指的面积进行胡矩提取,提取分割后所示手的显示部分的几何特征。使用三种不同距离度量的KNN分类器的实验结果对大多数被记录的人都是令人鼓舞的;总识别准确率约为40%至93%,具体取决于所使用的特征、距离度量和K。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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