MFP (Mobile FingerPrint)

Citation Author(s):
Karama
Abdeljabbar
REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia
Islem
Jarraya
REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia
Tarek M.
Hamdani
REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia
Adel M.
Alimi
REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia
Submitted by:
Karama Abdeljabbar
Last updated:
Mon, 02/12/2024 - 07:00
DOI:
10.21227/ey95-5584
Data Format:
images file
License:
Creative Commons Attribution
410 Views
Categories:
Artificial Intelligence
Image Processing
Computer Vision
Security
Keywords:
Contactless authentication, thumb and index fingerprints, Biometric.
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Abstract 

A short time ago, the study of contactless fingerprint authentication gained appeal among biometric researchers. Contactless fingerprint systems offer various advantages, such as ease of capture and affordability, over conventional fingerprint identification systems, which demand that the user's finger make direct contact with the sensor.

The Mobile FingerPrint dataset (MFP dataset) contains thumb and index fingerprint images. The finger is placed in front of the mobile camera without any contact, and the camera should be placed in front of the finger at approximately 14 cm to capture the entire fingerprint modality. Images are taken without light conditions and in a free position.

Instructions: 

Download Zip file and extract it. 

Comments

nice!

Submitted by fzf f on Fri, 06/02/2023 - 08:44

How many images are there?

Submitted by Sejuti Najneen on Sat, 09/14/2024 - 10:28

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