FACIAL SOFT BIOMETRICS - Library of Ph.D. Theses | EURASIP

81Chapter 7Practical implementation of softbiometrics classification algorithms7.1 Set of facial soft biometricsAs elaborated in Chapter 2 higher and more satisfactory distinctiveness can be achieved byusing more than one trait, rather than a single trait. Thus we here propose a set of facial softbiometrics that can be exploited for human identification, as shown in Chapter 3. In an effort tofind a good balance between identification–reliability and complexity, we here propose a soft–biometric system that focuses on simple and robust classification from a bounded set of traitsand their trait–instances. In what follows, we will describe these basic elements, as well as theemployed classification algorithms.In the presented set of facial soft biometric traits, we allocate 6 traits, which we choose andlabel as shown in Table 7.1.Table 7.1: Table of Facial soft biometric traitsSB trait Algorithm DatabaseSkin color Deduced from [KMB] FERETHair color Deduced from [ZSH08] FERETEye color Own developed UBIRIS2Beard Own developed FERETMoustache Own developed FERETGlasses Deduced from [JBAB00] FERETWe proceed now to specify basic aspects of the classification algorithms that were used fortrait–instance identification.7.1.1 Classification algorithmsThe basic classification tool consisted of an automatic frontal face and facial features detector,which was partially drawn and modified from the algorithms in [vio]. Implementation of the