Identification and Classification of Face Emotions Based on Age and Linguistic approach Using Convolution Neural Network and Analytic Hierarchy Process
Main Article Content
Abstract
Face recognition has been an important topic of study for the last few decades. Human facial expressions show a lot of information instead of telling people what they are saying. It is important for people and machines to be able to recognise each other's faces. Computers still have a hard time figuring out how to recognise facial expressions with a high level of accuracy. In this paper we have used Convolution neural network (CNN) algorithm to recognise and classify face emotions based on age group. Then this paper focuses on Analytic hierarchy process (AHP) to recognise and classify face emotions based on linguistic approach.
Downloads
Metrics
Article Details
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.
