Verwandte Artikel zu Gender recognition using facial images

Gender recognition using facial images - Softcover

Fatima, Rubia; Yasin, Affan; Basit Dogar, Abdul

 
9786200230768: Gender recognition using facial images
Softcover
ISBN 10: 6200230765 ISBN 13: 9786200230768
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

The main objective of this study is to find out which of the most-widely used machine learning algorithms perform well for gender recognition. The aim of the study is to develop a system that can recognize the gender of a human on the basis of frontal facial features only. This system will classify the unknown facial images into male or female by comparing it with the images in the training set. The comparison will be done between most commonly used techniques for gender recognition that are the Genetic Algorithm (GA) and Support Vector Machine (SVM ) based on the facial features of a static image. Our results showed that our proposed SVM is better in detecting gender as compared to Genetic Algorithm.

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Über die Autorin bzw. den Autor

Rubia Fatima received her Master's degree in Information Technology (IT) from Bahauddin Zakariya University (B.Z.U), Multan, Pakistan in 2016. Currently, she is pursuing her Ph.D. in Software Engineering from School of Software, Tsinghua University, P.R.China. Her research specializes in cybersecurity and game-based education.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
6200230765
ISBN 13 
9786200230768
Einband
Taschenbuch
Anzahl der Seiten
96
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
SIA OmniScriptum Publishing
customerservice@vdm-vsg.de

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Riga
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