Hala H. Zayed received her B.Sc. in electrical engineering (with honor degree) in 1985, her M.Sc. in 1989 and her Ph.D. in electronics engineering in 1995 from Benha University. She is the ex-dean of faculty of Computers and Artificial Intelligence, at Benha university. She is now a professor at the School of Information Technology and Computer Science, Nile University. She is a member of the committee of experts in the national committee of UNESCO (committee of communications and informatics). Her areas of research are computer vision, biometrics, image forensics, image processing and machine learning.
Real-Time Dorsal Hand Recognition Based on Smartphone
The integration of biometric recognition with smartphones is necessary to increase security, especially in financial transactions such as online payments. Vein recognition of the dorsal hand is superior to other methods such as palm, finger, and wrist, as it has a wide area to be captured and does not have any wrinkles. Most current systems that depend on dorsal hand vein recognition do not work
- Computer Vision
- Image Forgery
- Machine Learning