سال انتشار: ۱۳۹۰
محل انتشار: هفتمین کنفرانس ماشین بینایی و پردازش تصویر
تعداد صفحات: ۵
Mohammad Ali Hajizadeh – Computer Vision Res. Lab, Electrical Engineering FacultySahand University of TechnologyTabriz, Iran
Hossein Ebrahimnezhad – Computer Vision Res. Lab, Electrical Engineering FacultySahand University of TechnologyTabriz, Iran
In this paper, we propose an age-group classificationalgorithm using Histograms of Oriented Gradients (HOG) as theface description. The proposed method classifies subjects intofour different age groups. The process of the system is dividedinto three main stages: pre-processing, feature extraction andage-group classification. In this work, we use Iranian FaceDatabase (IFDB)  since the actual age of the subjects aredetermined in this database. IFDB contains the images of thesubjects with age span from 1 to 85 years. After pre-processing,HOG features of the faces are extracted and then, the images areclassified into age-groups using a PNN classifier. Experimentalresults show that recognition rate of the proposed method is87.025% for age-group classification.