Tarek Mamdouh Mostafa Ahmed <br/><br/>
Classifier fusion techniques using quality measures /  
 تقنيات دمج المصنفات باستخدام مواصفات الجودة 
Tarek Mamdouh Mostafa Ahmed ; Supervised Neamat Farouk Elgayar , Iman Elazab 
 - Cairo :   Tarek Mamdouh Mostafa Ahmed ,   2012 
 - 125 P. :   charts ,  facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology 
<br/><br/> A single-classifier system usually suffers from practical limitations. Due to the non-linearity of features and the complexity of the classification problem, it is practically impossible to eliminate all the classification errors using a single classifier system. This is the main motivation behind multiple classifier systems MCS 
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<br/><br/><label>Subjects--Index Terms: </label>Biometrics Face Multiple classifiers