Classification of Age Groups from Facial ImageUsing Histograms of Oriented Gradients

Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ICMVIP07_069

تاریخ نمایه سازی: 28 مرداد 1391

Abstract:

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) [1] 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.

Keywords:

age-group classification , facial feature extraction , histograms of oriented gradients

Authors

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

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