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AL-Rafidain Journal of Computer Sciences and Mathematics

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Adopting the Principle of Closed Set to People Identification Based on Human Hand Geometry

    Maha Abd Alrahman Al-Hasoo Zeena N. Al-kateeb

AL-Rafidain Journal of Computer Sciences and Mathematics, 2010, Volume 7, Issue 3, Pages 105-120
10.33899/csmj.2010.163930

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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.
 
 
Keywords:
    identification Hand Geometry close Set
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(2010). Adopting the Principle of Closed Set to People Identification Based on Human Hand Geometry. AL-Rafidain Journal of Computer Sciences and Mathematics, 7(3), 105-120. doi: 10.33899/csmj.2010.163930
Maha Abd Alrahman Al-Hasoo; Zeena N. Al-kateeb. "Adopting the Principle of Closed Set to People Identification Based on Human Hand Geometry". AL-Rafidain Journal of Computer Sciences and Mathematics, 7, 3, 2010, 105-120. doi: 10.33899/csmj.2010.163930
(2010). 'Adopting the Principle of Closed Set to People Identification Based on Human Hand Geometry', AL-Rafidain Journal of Computer Sciences and Mathematics, 7(3), pp. 105-120. doi: 10.33899/csmj.2010.163930
Adopting the Principle of Closed Set to People Identification Based on Human Hand Geometry. AL-Rafidain Journal of Computer Sciences and Mathematics, 2010; 7(3): 105-120. doi: 10.33899/csmj.2010.163930
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