Mobile Custom Silicone Mask Attack Dataset (CSMAD-Mobile)
Creators
- 1. Norwegian University of Science and Technology
- 2. Idiap Research Institute
Description
This dataset consists of face & silicon masks images from 8 different subjects captured with 3 different smartphones.
This dataset consists of images captured from 8 different bona fide subjects using three different smartphones (iPhone X, Samsung S7 and Samsung S8). For each subject within the database, varying number of samples are collected using all the three phones. Similarly, the silicone masks of each of the subject is collected using three phones. The masks, each costing about USD 4000, have been manufactured by a professional special-effects company.
For the bona fide presentations of the same eight subjects, each data subject is asked to pose in a manner compliant to standard portrait capture. The data is captured indoors, with adequate artificial lighting. Silicone mask presentations have been captured under similar conditions, by placing the masks on their bespoke support provided by the manufacturer, with prosthetic eyes and silicone eye sockets.
The database is organized in three folders corresponding to three smartphones and further each subject within the database is organized in sub-folders.
The files are named using the convention "PHONE/CLASS/SUBJECTNUMBER/PHONEIDENTIFIER-PRESENTATION-SUBJECTNUMBER-SAMPLENUMBER.jpg".
- PHONE is iPhone, SamS7 or SamS8 corresponding to iPhone, Samsung S7 and Samsung S8 respectively.
- CLASS is "Bona" or "Mask" indicating the bona fide presentation or mask presentation respectively.
- SUBJECTNUMBER is "s1" to "s8" indicating 8 subjects in the database.
- PHONEIDENTIFIER is the two letter keyword as given by "ip", "s7" and "s8" corresponding to iPhone, Samsung S7 and Samsung S7 respectively.
- PRESENTATION identifies bona-fide or mask-attack presentation using 2 letter identifier "bp" or "ap".
- SAMPLENUMBER indicates the sample number of the subject.
Reference
If you publish results using this dataset, please cite the following publication.
“Custom Silicone Face Masks - Vulnerability of Commercial Face Recognition Systems & Presentation Attack Detection”, R. Raghavendra, S. Venkatesh, K. B. Raja, S. Bhattacharjee, P. Wasnik, S. Marcel, and C. Busch. IAPR/IEEE International Workshop on Biometrics and Forensics (IWBF), 2019.
10.1109/IWBF.2019.8739236
https://publications.idiap.ch/index.php/publications/show/4065
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.
Request access
If you would like to request access to these files, please fill out the form below.
You need to satisfy these conditions in order for this request to be accepted:
Access to the dataset is based on an End-User License Agreement. The use of the dataset is strictly restricted to non-commercial research.
Please provide us the following information about the authorized signatory (MUST hold a permanent position):
- Full name
- Name of organization
- Position / job title
- Academic / professional email address
- URL where we can verify the information details
Only academic/professional email addresses from the same organization as the signatory are accepted for the online request. All online requests coming from generic email providers such as gmail will be rejected.
You are currently not logged in. Do you have an account? Log in here
Additional details
Related works
- Is documented by
- Conference paper: 10.1109/IWBF.2019.8739236 (DOI)