Detailed Study on Gender Detection Using Frontal Face

MANTHAN; DR. DEEPIKA PUNJ; DR. PAYAL GULATI

Detailed Study on Gender Detection Using Frontal Face

Authors: MANTHAN, DR. DEEPIKA PUNJ, DR. PAYAL GULATI

Unique Paper ID: 155381
Volume: 8
Issue: 10
PageNo: 101-106

Keywords: Machine learning Gender classification CNN

Abstract:
Automatic gender detection through facial features has become a critical component in the new domain of computer human observation. Automatic gender detection has numerous applications in the area of recommender systems, focused advertising, surveillance, biometric and other security systems nowadays. A gender detection system can be implemented in the gender specific areas like woman compartments, gender detection can be used in temples and customized advertisement and in robotics field also. By analyzing the face we can get a lot of information such as, emotions, expressions, skin color, beard, mustache, etc. can be extracted. In recent literature, detection of gender by using facial features is done by many methods such as Gabor wavelets, artificial neural networks and support vector machine, Adaboost, KNN, CNN. This work presents the comparative study of various approaches that are used in gender detection system and their accuracy have been compared.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 10
PageNo: 101-106

Detailed Study on Gender Detection Using Frontal Face

Available:https://ijirt.org/Article?manuscript=155381

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