Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/28948
Title: PREDICT GENDER USING CONVOLUTIONAL NEURAL NETWORK
Authors: BENLAMOUDI, Azeddine
BEN SID, Khaled
GHILANI, Med Lazhari
BADAOUI, Mostafa
BAFLAH, Mostafa
Keywords: Biometrics
Face recognition
Gender recognition
Convolution Neural Network
Issue Date: 2020
Publisher: University of Kasdi Merbah, Ouargla
Abstract: With the development of science and the increase of the need of safety, many techniques and methods have emerged, and Biometrics or so-called (biological properties, including fingerprint, face print, eye print, voice, hand geometry, and DNA) have given new dimensions to the process of identifying and verifying personal identity. It enabled specialists and researchers to use modern methods and advanced technologies in order to provide a high degree of accuracy and safety in the topic of identity verification. In this memory, the method of determining gender is studied by the face using the convolution neural network, as this technique can adapt to collecting cases to perform the process of determining gender with the best results, and it is an effective technique that has been tried in many tests such as age and race determination. At the end, this technique was demonstrated, and I did it through the results obtained.
Avec le developpement de la science et l’augmentation du besoin de s ´ ecurit ´ e, de nom- ´ breuses techniques et methodes ont ´ emerg ´ e, et la biom ´ etrie ou ce qu’on appelle (propri ´ et ´ es bi- ´ ologiques, y compris les empreintes digitales, les empreintes faciales, les empreintes oculaires, la voix, la geom ´ etrie de la main et l’ADN) ont donn ´ e de nouvelles dimensions ´ a la le processus ` d’identification et de verification de l’identit ´ e personnelle. Il a permis aux sp ´ ecialistes d’utiliser ´ des methodes modernes et des technologies modernes avanc ´ ees afin de fournir un haut degr ´ e´ de precision et de s ´ ecurit ´ e dans la question de la v ´ erification d’identit ´ e. Dans cette memoire, la ´ methode de d ´ etermination il ´ etudie la sexualit ´ e´ a travers le visage ` a l’aide du r ` eseau neurone ´ a` convolution, comme cette technique peut s’adapter a la collecte de cas pour effectuer le proces- ` sus de determination du sexe avec les meilleurs r ´ esultats, et c’est une technique efficace qui a ´ et ´ e essay ´ ee dans de nombreux tests tels que la d ´ etermination de l’ ´ age et de la race. Et ˆ a la fin, ` cette technique a et ´ e d ´ emontr ´ ee, et je l’ai fait ´ a travers les r ` esultats obtenus.
URI: http://dspace.univ-ouargla.dz/jspui/handle/123456789/28948
Appears in Collections:Département d'Electronique et des Télécommunications - Master

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