AleksandarRa
commented
1 year ago Dataset Description
The dataset consists of four datasets – pls ignore the “PROTECT” one, as these samples are of different type (i.e. dorsal handvein samples instead of fingervein samples as for the other three datasets).
Each folder contains subfolders for the genuine examples (bona fide), the spoofed ones and the synthetic ones:
- genuine
- spoofed
- spoofedsynthetic[GANmethod]
where GANmethod describes the GAN used to generate the data. Currently, we have cycleGAN for each dataset, but additionally distanceGAN only for the PLUS dataset (so if you should compare generation methods, this is your dataset).
Synthetic subfolders
For the synthetic subfolders there are further subfolders where the first one indicates the ID of the variant according to the table on the first page of Description.pdf (see also this file !) Then there are usually 5 subfolders according to the folds used for generation, where the _rs subfolders indicate the images that are resized and the all_rs containing images combined from all those runs.
Each one then again contains a reference subfolder, where the synthetic samples are stored.
An example path would be: PROTECT/spoofed_synthethic_cyclegan/010/3_rs/reference
where the data is from the PROTECT dataset, it is the synthetic spoofs generated by cyclegan, variant 010, fold 3, resized images
Which folder data should you use ?
DO use all 5 subfolders according to the normal folds, DO NOT use the 5 _rs subfolder DO NOT use the all_rs subfolder
Which variant (ID) should you be using ?
PLUS: 003 and 004 (different generation variants wrt. fold construction, separate experiments, do not mix) SCUT: 007 and 008 (different generation variants wrt. fold construction, separate experiments, do not mix) VERA: 009
Filename description
In the following, you find a description of how the file names of the samples are composed for better understanding of subject IDs (if you need to separate subjects into training and testing subjects).
The Filename format for the particular datasets and synthetic samples is the following:
All filenames start with a consecutive number separated by a "-" from the original dataset's naming scheme e.g. 001-PLUS-FV3-Laser_PALMAR_001_01_02_01.png where "001" is the consecutive number and "PLUS-FV3-Laser_PALMAR_001_01_02_01.png" is the original filename, according to the format of the datasets:
PLUSVein-FV3
The filename are encoded using the following structure: [scanner name][DORSAL/PALMAR][session ID][user ID][finger ID]_[image ID].png an example filename is: PLUS-FV3-Laser_PALMAR_001_01_02_01.png
- scanner name: the name of the scanner used to capture the image, either PLUS-FV3-Laser or PLUS-FV3-LED
- DORSAL/PALMAR: denotes if the image is captured from the palmar or the dorsal side
- session ID: the session ID, two digits, where 01 denotes the first session
- user ID: the user ID, three digits, where 001 denotes the first user and 060 denotes the 60th user
- finger ID: the finger ID, two digits, starting from the left thumb (01) till the right pinky finger (10): 02: left index finger 03: left middle finger 04: left ring finger 07: right index finger 08: right middle finger 09: right ring finger The left thumb (01), left pinky finger (05), right thumb (06) and right pinky finger (10) have not been captured.
- image ID: the image ID, two digits, starting from 01.
PROTECT
The filenames are encoded using the following structure: c[session ID]_b[sensor_ID]_su[user ID][finger ID]-[image ID].png where
- session ID: the session ID, one digit, where 1 denotes the first session
- sensor ID: here we only use the finger vein images, where the sensor ID is F
- user ID: the user ID, three digits, where 000 denotes the first user and 060 denotes the 60th user
- finger ID: the finger ID, two digits, starting from the left thumb (01) till the right pinky finger (10): 02: left index finger 03: left middle finger 04: left ring finger 07: right index finger 08: right middle finger 09: right ring finger
- image ID: the image ID, three digits, starting from 000.
example file name: c1_bF_s_u000_02-000.png
IDIAP Vera FV Spoofing Attack
Samples are stored as follow with the following filename convention: full/bf/004-F/004_L2. The fields can be interpreted as
The
SCUT FVD Spoofed
Images are labeled as follow: ID_finger_session_shot_light.bmp, where “ID” stands for client's ID, “finger” ranges from 1 to 6 standing for the index, middle and ring finger of right and left hand respectively, “session” stands for session number which can be "0" or "1" “shot” stands for the considered shot number ranging from 0 to 5, and “light” stands for the level of light intensity which can be an integer between 1 and 6.
Images from the same client are regrouped into a single folder labeled.
NOTE: When processing these images, you only need to consider the first two label, i.e. “ID” and “finger”.
@AIS-22/biometricsystems
Betrifft: LV 911.100 23W 1SSt PS Biometric Systems
Dear Students,
pls find the data @ https://www.cosy.sbg.ac.at/~uhl/Data_prepared.zip
so far, ps only consider original and spoofed data, but NOT the synthetic data, as the directory structure of the latter is not yet fully clarified.
best, AU