Open AccessIdentifying Gender from Images of Face
Author(s) -
A. Gayathri
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36030
Subject(s) - artificial intelligence , biometrics , computer science , classifier (uml) , face detection , pattern recognition (psychology) , face (sociological concept) , facial recognition system , three dimensional face recognition , training set , machine learning , computer vision , social science , sociology
The main objective of this project is to classify the gender based on different facial features such as eyes, nose, mouth, overall features such as face contour, head shape, hair line etc. The gender classification algorithm uses machine learning technique (supervised learning). In this case the algorithm is trained on a set of male and female faces and then used to classify new data. In this project, face detection and gender classification methods are combined. The face detection acts as a pre-processing operation to the gender classifier that determines the gender.There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from a given image with faces within a database. It is also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analyzing patterns based on the person's facial textures and shape.Automated gender recognition plays an important role in many application areas such as human computer interaction,biometric, surveillance, demographic statistics etc.