Datasets
Standard Dataset
Mobile Hand Biometrics (MHB)
- Citation Author(s):
-
KaramaAbdeljabbar
REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia - Submitted by:
- Karama Abdeljabbar
- Last updated:
- Mon, 05/20/2024 - 11:07
- DOI:
- 10.21227/7hjc-4x40
- Data Format:
- License:
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Abstract
Recently, contactless hand biometrics authentication has become increasingly popular among biometric researchers. These systems offer several advantages over traditional hand identification systems, including ease of capture and affordability, as they do not require the user’s hand to make direct contact with the sensor.
The Mobile Hand Biometrics (MHB) dataset includes images of fingerprint, palmprint, and hand geometry. These images are captured with a mobile camera without any physical contact, with no lighting conditions, and in free positions.
- The first subsets (Fingerprint): This set of data presents the thumb fingerprinrs scores vectors for each person's thumb finger in a csv files of the MFP (Mobile FingerPrint dataset ).
- The second subsets (Palmprint): This set of data presents scores vectors of palmprint images in csv files of the MPP (Mobile PalmPrint dataset).
- The third subsets (Hand geometry):This set of data presents scores vectors of hand geometry images for each person's hand geometry in a csv files of the MHG (Mobile Hand Geometry dataset).
The "csv_train_labels" and "csv_train_scores" files represent the labels and the scores vectors of the train part respectively.
The "csv_test_labels" and "csv_test_scores" files represent the labels and the scores vectors of the test part respectively.
