B2F (Biometric images of Fingerprints and Faces)

The B2F dataset (Biometric images of Fingerprints and Faces) has been prepared for face and fingerprint recognition, verification or classification.The first subset (Fingerprint): This set of data presents the five finger feature vectors (of the left hand) for each person in a csv files.The second subset (Face): This set of data presents feature vectors of face images in csv files. Feature vectors were extracted using the model (ResNet-50 + ArcFace). This set of face feature vectors represents:- Feature vectors of face images taken on thirteen views (at a distance of 2 meters) (0°, 15°, 30°, 45°, 60°, 75°, 90°, 105°, 120°, 135°, 150 °, 165° and 180°),- Feature vectors of face images taken with seven emotions (neutral, angry, happy disgusted, scared, surprised and sad)- Feature vectors of four face images taken at three distances (two at a distance of two meters, one at one meter and one at a quarter of a meter) for each person.