FACE ASSESSMENT LEARNED FROM EXISTING IMAGES IN ORDER TO CLASSIFY THE GENDER OF THE IMAGES BASED ON IMPROVED FACE RECOGNITION
Main Article Content
Abstract
Face is among the most vital biometric traits. When we study the face, we can gather details
such as age and gender, ethnicity, expression, identity, etc. A system for gender classification
uses the faces of people from an image to identify what nature of the gender (male/female)
that is the individual. A gender-based approach that is successful can improve the
performance of numerous other applications, including facial recognition and a sophisticated
human-computer interface. This paper provides the fundamental processing steps required for
gender classification based on face images. In this paper, a variety of techniques employed in
different stages in gender categorization, i.e., features extraction as well as classification are
presented and contrasted.
Article Details
Issue
Section
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.