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Ghada Mohammed Alsebayel

Demonstrator

Faculty

علوم الحاسب والمعلومات
College of Computer and Information Sciences, Building 6, 2nd floor, Office 6
publication
Conference Paper
2013

PCA-based Palm Vein Authentication System

Alsayigh, Dr. Sahar Bayoumi, Ghada Alsebayel, Sarah Alzahrani, Sulaf Almagooshi, Afnan Sheikho, Sara . 2013

In this paper we proposed a system for authentication using Palm Vein. we Applied Principle Component Analysis (PCA) on images of the plam for features extraction. Palm vein images of dorsa were captured using infrared camera. PCA is then applied to generate vector of features that represent the highest details of variant information. A matching process is then applied to find the best match from the database to recognize and authenticate a person. Experiments show that our system was  able to recognize a user with an accuracy of 85% in real-time based on supervised recognition.

Conference Location
Suwon, South Korea
Conference Name
2013 International Conference on Information Science and Applications (ICISA)
Sponsoring Organization
IEEE
more of publication
publications

Traditionally, game designers have driven the development process of psychotherapeutic games with psychotherapists playing a consultant role. In contrast, our study explores psychotherapists…

by Elina Tochilnikova, Amrit Patnaik, Ghada Alsebayel, Uttkarsh Narayan, Andrew Coeytaux, Valeria Ramdin, Miso Kim, Casper Harteveld
2022
Published in:
Association for Computing Machinery ACM
publications

In this paper we proposed a system for authentication using Palm Vein. we Applied Principle Component Analysis (PCA) on images of the plam for features extraction. Palm vein images of dorsa were…

by Dr. Sahar Bayoumi, Ghada Alsebayel, Sarah Alzahrani, Sulaf Almagooshi, Afnan Sheikho, Sara Alsayigh
2013
publications

In this project we applied apriori algorithm for learning association rules in a healthcare dataset.

by Ghada Alsebayel, Sarah Alzahrani, Sulaf Almagooshi, Supervised by: Dr. Ghada Bader
2013