Eye detection in digital images: challenges and solutions
This work addresses the challenge of eye detection for biometric identification, but it is incremental as it focuses on reviewing existing methods rather than introducing new ones.
The paper categorizes and explains various methods for eye detection in digital images, highlighting the advantages and disadvantages of each approach.
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.