Document Type : Research Paper

Authors

• Buraq AbedRuda Hassan
• Faten Abd Ali Dawood

Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

Abstract

Facial gender recognition is an important and attractive research topic due to its extensive use cases, including gender demographic scanning, targeted advertising, access control, and visitor profile identification. The framework of the proposed method for face detection face consists of Adaboost, Integral Image, Haar- features, and Cascade Classifier. The LFW dataset containing 13,233 facial images was used.

Keywords

• Face detection
• Haar-Like Feature
• Viola-Jones method