Abstract
We propose a Identification System Based on Human Hand Geometry Features, we extract 50 features to use it in recognition process. By constructing the principle of Close Set Identification System, the system database has been built using modified digital scanner. The system were tested on database contain 500 images referred to 50 persons, 10 images for each person.
The evaluation of the system performance was calculated by using three matching metrics that are Absolute Distance, Euclidean Distance, D1 Distance and get on the highest recognition rate using Absolute Distance more than 97%.
MATLAB 7.9.0(2009b) programming language has been used to execute the paper algorithms, because its facilities in processing digital images.
