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 - 12:00
DOI:: 10.21227/ey95-5584
Data Format:: images file

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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.