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

Maha Al-Hasoo,Zeena Al-Kateeb

doi:10.33899/csmj.2010.163930

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.

Highlights

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%
We propose a Identification System Based on Human Hand Geometry Features, we extract 50 features to use it in recognition process
‫‪ 9-4‬مرحلة التسجيل ‪Enrollment‬‬ ‫قت لرت درراق ي ظاررام تم رري قررادم علررش سررام الابرراد اليد سرية لل رر الب رررية تكرويت قاعرر ي ياظررات‬ ‫‪ Database‬تضم جمي ال والت المرجعية ‪ Reference Template‬التامعة للأ ااع المسال ت مالداام ‪ ،‬لذا تع‬ ‫عمليرة دراق ال والرت المرجعيرة ‪ Reference Template‬مرت ا رم الا روات التر يمرر يرا الدارام ح رو ترتم رذه‬ ‫الا رروي ةرر ررور التسررا ل ‪ ،‬اذ قت لررت الداررام الم تررر الت رراط ارر س صررور ل رر المسررتا م قلرر ذلررل اسررتا ع‬ ‫الاباد التم يية مت كل صوري مت البور الث اة ام ق دش ال الت التام لل ا المح خ مرت لار ل إياراخ معر ل‬ ‫كرل لااصرية مرت الابراد التم ييرة ‪ ،‬ةر حالرة تعثرر عمليرة اسرتا ع الابراد التم ييرة مرت ي صروري مرت‬ ‫البور الث اة ةان الدارام ي لرت مرت المسرتا م الت راط صروري قلرة لإتمرام عمليرة التسرا ل ‪ ،‬ح رو قمدرا مراج ارق رذه‬

Summary

Introduction

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%.

Results

Conclusion