Automatic face image annotation using machine learning techniques

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Author: 
Nagila, S. and Myna, A. N.
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Face image annotation refers to automatically assign labels to objects in a face image. Assigned labels may be gender, age, name, etc. For annotating the human faces, wide variety of algorithms and techniques are used in computer vision. In this paper, a real time face image annotation system which involves face detection, gender and age identification is proposed. For detection of human faces in an image Viola and Jones Object detection technique is used. For the detected human faces, features are extracted using the process of Local Binary Pattern. For classification of human faces based on their gender and age, Support Vector Machine is used by considering extracted features as support vectors. The main application of this work is to count the number of human faces who have viewed a particular advertisement. The face database consists of sample face dataset of varying age group and gender. The experimental results show better accuracy for gender and age classification.

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Editorial Board Member's

Dr.Geetanjali Joshi Mishra
Lucknow, UP, INDIA
Dr. Sankalp Verma
India
Tannu Arora
India
Prof Dr. Lee Mun Seng
Malaysia
Dr. Muhammad shoaib Ahmedani
Saudi Arabia
Dr. Lim Gee Nee
Malaysia
DANA MOHAMMED
UK
Ali Majnoony Tootakhaneh
Iran
Prof. Somchai Amornyotin
Thailand
Nurhodja Akbulaev
Turkey
Muhammad Hamid
Pakistan
MOHAMMAD GHOLAMI
Iran
MAVLYANOV ISKANDAR RAKHIMOVICH
Uzbekistan
Hasan Ali Abed Al-Zu’bi
Jordan
Faraz Ahmed Farooqi
Saudi Arabia
Eric Randy Reyes Politud
Philippines
Eapen, Asha Sarah
USA
Dr. Ruchika Khanna
India
DR. MUHAMMAD ISMAIL MOHMAND
UK
DR. MAHESH SHIVAJI CHAVAN
India
Dr. Lokesh Gambhir
India
DR. IRAM BOKHARI
Pakistan
Dr. FARHAT NAZ RAHMAN
Pakistan
Dr. Charu Bisaria
India
Dr. Achmad Choerudin
Indonesia
Bensafi Abd-El-Hamid
Algeria
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Dr. ASHWANI KUMAR DUBEY
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