Lie Detector With Analysis Pupil Dilation And Eye Blinks Analysis Using Hough Transform And Decision Tree

Abstract

In a social life, lying is a common and frequent thing among the community. Communication is one of the main ways to multiply relationships and build relationships in family, community, and the world of work. In the world of psychology, it can be detected using body parts such as; face, eyes, heartbeat and more. In this Final Project the compiler focus to work on the human eye. The lie detector uses the object of pupil diameter change and the number of blinking eyes with the Hough Transform method and the Decision Tree algorithm as the decision maker. From the results of research conducted on the lie detector system obtained an accuracy of 92%. Accuracy is obtained from observations on the change in pupillary diameter using hough circular transform method and increased the number of blinking eye with eye aspect ratio method. In research conducted, a person who lies pupil eyes will experience enlargement of the pupil diameter of the initial respondent and increased the number of blinks of the eye to more than 8 times from the initial blink of respondents before the question.