Abstract
This paper present a new practical authentication system which is depend on one of the biometrics features Hand Geometry features. the proposed system Captures human hand image to extract 50 features then use these features in creating for database system authenticate users stage and recognition stage. The paper present a complete and clear study of the basic fundamentals open set principle and shown the effect of population size on the recognition rate. Good results was obtain that is more than 91% in this application. MATLAB7.9.0 (2009b) programming language has been used to execute the paper algorithms, because its facilities in processing digital images.
Highlights
ABSTRACT This paper present a new practical authentication system which is depend on one of the biometrics features Hand Geometry features. the proposed system Captures human hand image to extract 50 features use these features in creating for database system authenticate users stage and recognition stage
يتفاح مان الجادول باان لريقاة المساافة الإقليدياة تعطاي أففال نتاائج التميياز لاذا يعتماد مقيااس المساافة الإقليدية بأن المقياس المعتمد لإج ارء عملية المقارنة في مرحلة التمييز عند العمل بطور التأكد من الهوية.
Summary
ABSTRACT This paper present a new practical authentication system which is depend on one of the biometrics features Hand Geometry features. the proposed system Captures human hand image to extract 50 features use these features in creating for database system authenticate users stage and recognition stage. الأساسية التي يجب التطرق إليها قبل الولوج في شرح آلية عمل النظام ألا وهي][16][13][12 نسبة القبول الخاطئ ) :False Accept Rate
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More From: AL-Rafidain Journal of Computer Sciences and Mathematics
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