  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 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.
