Eye detection in digital images: challenges and solutions

TL;DR

This paper reviews various eye detection methods in digital images, discussing their advantages and disadvantages, to address challenges in biometric identification under diverse image conditions.

Contribution

It categorizes and explains different eye detection techniques, highlighting their strengths and limitations for improved biometric applications.

Findings

Different methods have unique advantages and drawbacks.

No single method is universally effective under all conditions.

The paper provides a comprehensive comparison of eye detection techniques.

Abstract

Eye Detection has an important role in the field of biometric identification and known as one method of person's identification. In recent years, many efforts have been done which can detect eye automatically and with different image conditions. However, each method has its own drawbacks which can control some of these conditions. In this paper, different methods of eye detection will be categorized and explained. In each category, the advantages and disadvantages of each method will be presented.