Mohamed I. Sayed

Researchers are becoming increasingly interested in dorsal hand vein biometrics because of their characteristics. These characteristics can be summarized as follows: it does not need contact with the capture device, cannot be forged, does not change over time, and provides high accuracy. Recognition systems of the dorsal hand rely on how the collected images captured from the device are good. Near-infrared (NIR) light is used to distinguish veins from the back of the hand.

Dataset Files

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[1] Mohamed Sayed, "The Dorsal Hand Dataset For Recognition System", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/khnd-c207. Accessed: Jan. 26, 2022.
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doi = {10.21227/khnd-c207},
url = {http://dx.doi.org/10.21227/khnd-c207},
author = {Mohamed Sayed },
publisher = {IEEE Dataport},
title = {The Dorsal Hand Dataset For Recognition System},
year = {2021} }
TY - DATA
T1 - The Dorsal Hand Dataset For Recognition System
AU - Mohamed Sayed
PY - 2021
PB - IEEE Dataport
UR - 10.21227/khnd-c207
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Mohamed Sayed. (2021). The Dorsal Hand Dataset For Recognition System. IEEE Dataport. http://dx.doi.org/10.21227/khnd-c207
Mohamed Sayed, 2021. The Dorsal Hand Dataset For Recognition System. Available at: http://dx.doi.org/10.21227/khnd-c207.
Mohamed Sayed. (2021). "The Dorsal Hand Dataset For Recognition System." Web.
1. Mohamed Sayed. The Dorsal Hand Dataset For Recognition System [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/khnd-c207
Mohamed Sayed. "The Dorsal Hand Dataset For Recognition System." doi: 10.21227/khnd-c207