Development of Model for Estimation of Age Group of Drivers by using Soft Computing Tools

Abstract

Road accidents are rapidly increased day to day, that affects the various humans' life. Driver is the main parameter of the vehicle that sources the accidents. Many researchers interested to gather the data of the people who are accountable for the accidents. These papers mainly focus on the age group of the driver because age group is the most important factor for the driver's behaviour. The age group estimation of the driver is based on his or her facial extraction mainly on the basis of multidimensional facial images. In this paper, we developed neural network model to analyze the age group of the driver using facial features extraction.