@@ -169,13 +169,14 @@ Includes 9,376 still images and 2,802 videos of 293 people. The images are balan
PUT Vein pattern database consists of 2400 images presenting human vein patterns. Half of images (1200 images) contain a palm vein pattern and the remaining images contain a wrist vein pattern (another 1200 images). Data was acquired from both hands of 50 students. Thus, it has 100 different patterns for palm and wrist region. Pictures ware taken in 3 series, 4 pictures each, with at least one week interval between each series. Images in database have 1280x960 resolution and are stored as 24-bit bitmap. Database consist of 2 main splits: hand and wrist, allowing to investigate both modalities.
Database collected at IDIAP, specifically for face-PAD (presentation-attack detection) experiments, but also provides a protocol for face-verification. It contains 1300 videos corresponding to 50 clients. Videos for each client have been captured under two different illumination-conditions. The verification-protocol consists of 100 videos in the group 'enroll'. The remaining 1200 videos are used for PAD, divided into three groups: training, development, and test. Each group contains both 'real' and 'attack' videos. The attack videos have been constructed from the real videos. Three kinds of attacks are considered: print, iPad(1st gen.), and iPhone(3gs). The database also provides nominal face bounding-boxes for every frame of every video.
Database collected at IDIAP in Nov. 2015, for experiments on face-PAD in mobile environments. Face-videos have been collected for each subject under diverse illumination conditions on two mobile devices: a mobile phone (LG G4, front camera) and a iPad. 40 subjects are represented in the database, which consists of 1030 video-files (including genuine and attack videos). The database-package provides a face-verification protocol as well as a face-PAD protocol. Two kinds of attacks are present in the database: print, and replay-video.
