Saturday 20th of April 2024
 

Improving Iris Localization Performance Using Image Processing Tools: Multi-Input Databases


Mohamed A. Mohamed, Mohy Eldin A. Abou-El-Soud and Marwa M. Eid

The interface of computer technologies and biology is having a huge impact on society. Human recognition research projects promises new life to many security-consulting. Iris recognition is considered to be the most reliable biometric authentication system. Image quality plays a crucial role in any pattern matching system. Three different iris databases have been employed for comparison of performance of proposed iris detection and isolation technique based on morphological features. CASIA, UPOL, and UBIRIS databases were processed as different types of noise like iris obstruction by eyelids, eyelashes, lighting reflections, and poor focused images. To process the iris patterns in an efficient and effective way against existing methods, many simple and effective image processing methods have been presented in image selection, iris preprocessing, iris segmentation, iris localization, and isolation. Experimental results show that our method achieves an accuracy of 100% for select best iris data, and 99% for isolate iris region.

Keywords: Edge Detection, Gamma Correction, Pupil Detection, Histogram Equalization, and Iris Detection.

Download Full-Text


ABOUT THE AUTHORS

Mohamed A. Mohamed
Mohamed A. Mohamed received the PhD degree in Electronics and Communications Engineering from the Faculty of Engineering-Mansoura University-Egypt by 2006. After that he worked as an assistant professor at the electronics & communications engineering department until now. He has 60 publications in various international journals and conferences. His current research interests are in multimedia processing, wireless communication systems, and field programmable gate array (FPGA) applications.

Mohy Eldin A. Abou-El-Soud
Mohy Eldin A. Abou-El-Soud Professor in Electronics and Communications from 1996 till now, received the PhD degree in Electronics and Communications Engineering by 1983. After that he worked as an assistant professor at the electronics & communications engineering department until now. He has publications in various international journals and conferences. His current research interests are in multimedia processing, wireless communication systems, and field programmable gate array (FPGA) applications

Marwa M. Eid
Marwa M. Eid received M.Sc. in Electronics and Communications Engineering from the Faculty of Engineering-Mansoura University-Egypt by 2011. Currently she is pursuing her PHD Degree in Mansoura University-Egypt. She worked as assistant lecturer at the electronics & communications engineering department until now. She has several publications in various international journals and conferences.


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »