Abstract: The objective of this paper is to use existing iris recognition methods as an alternative method to detect the presence of cholesterol in blood vessel. This research adopts John Dugan's and ...

Advanced Biofuels and Bioproducts Process Development Unit, Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Emeryville, California 94608, United States ...

Abstract: In the recent years, drastic improvements have been accomplished in the areas like iris recognition, automated iris segmentation, edge detection, boundary detection etc. Iris recognition is ...

Iris data is used to authenticate citizens when fingerprints are altered, making it difficult to verify information. Iris patterns also exhibit a high degree of variation and uniqueness, making them a ...

eDepartment of Paediatrics, Yong Loo Lin School of Medicine, NUS, Singapore fDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore ...

In this series of four articles, fundamentals, as well as advanced topics of image processing using MATLAB, are discussed. The articles cover basic to advanced functions of MATLAB’s image processing ...

1 College of Information and Communication Engineering, Al-Nahrain University, Baghdad, Iraq. 2 Al-Nahrain University, Baghdad, Iraq. Fingerprint identification and recognition are considered popular ...

This paper describes a computer program for calculating the contrast image on the human retina from an array of scene luminances. We used achromatic transparency targets and measured test target's ...

Mobile eye-tracking in external environments remains challenging, despite recent advances in eye-tracking software and hardware engineering. Many current methods fail to deal with the vast range of ...