The Leap Signature Dataset (LSD) consists of signatures from 60 unique subjects in the form of 3D signature trajectories. The trajectories are captured in 3D space without any tactile feedback using a Leap Motion device. The data for each subject consists of 12 samples of genuine signatures and 3 samples of impostor signatures. The data for each subject is captured in a single session.
The Leap Signature Dataset was captured along with the face identities of the subjects. However, to protect the identities of the subjects, we have provided the Leap Signature samples only.
The database can be downloaded from here.
The Head-image Soft Biometric Database (HSBD) consists of head images captured using 2 different DSLR cameras. It has head-images for 103 subjects. This database contains no facial information and includes some angular movements. The database also includes the ground truth annotations of the head in the acquired head-image.
The database can be downloaded from here.
The database can be downloaded from here.
Users post images on Social media, highlighting miniature objects holding in their hands. These posts may contain fingers in the uploaded photograph. Few of these photographs also contain clearly visible ridge-valley details. Using hashtags #miniature, #myhand, and #finger, we collect Social-Media Posted Finger-selfie (SMPF) database. The database consists of 1,000 images, each of which is collected from public Instagram posts. These images are handpicked so that ridge-valley details in proximal phalanx is visible.
The database can be downloaded from here.
IIITD SmartPhone Finger-selfie Database v2 (ISPFDv2) consists of more than 17,000 finger-selfies and 2432 livescan fingerprint images obtained from 304 unique fingers. The finger-selfie images are taken using two smartphones: OnePlus One (OPO) and Micromax Canvas Knight, while, livescan fingerprints are acquired using Secugen Hamster IV at 500 PPI. Indoor images are captured in both constrained and uncontrolled environments, while in outdoor conditions, images are captured without flash during daylight and with flash during the night. Auto-focus is always kept at ON status. Based on the challenges considered, the database is divided into four subsets.
The database can be downloaded from here.
The Unconstrained Fingerphoto Database (UNFIT database) consists of fingerphotos captured using 45 different smartphones. It has data for 115 subjects, collected for both index and middle finger, separately and together. Hence, there are a total of 230 classes. This database covers many challenges present in a real-world unconstrained environment such as illumination, motion blur, affine variations, and optional usage of camera flash. The database also includes ground truth annotations of the location of the finger(s).
The database can be downloaded from here.
Children Multimodal Biometric Database (CMBD) consists of iris, fingerprint, and face images of over 100 children (age range of 18 months to 4 years), acquired over two sessions. The iris images are captured using Cross-Match iris scanner, fingerprints are captured using Cross-Match L-scan slap fingerprint scanner and face images are captured using Nikon D90 DSLR. It has data for 106 across both the session and for all 3 modalities. However, to protect the identities of the participants, we have provided iris and fingerprint images only.
The database can be downloaded from here.
Spoofed Fingerphoto Database consists of spoofed fingerphotos images captured using OnePlus One and Nokia while spoofed using iPad, Laptop, Nexus
The database can be downloaded from here.
IIITD SmartPhone Fingerphoto Database v1 (ISPFDv1) consists of fingerphotos and live scan images captured using Lumidgm Sensor. It has data for 64 subjects, collected for both right index and right middle finger, hence making a total of 128 classes. This database covers illumination and background variation challenges.
The database can be downloaded from here.
IIITD Multi-surface Latent Fingerprint Database (IIITD MSLFD) consists of 551 latent fingerprints from 51 subjects lifted from eight different surfaces. The eight surfaces are: 1) Ceramic plate, 2) Ceramic mug, 3) Transparent glass, 4) Steel glass, 5) Compact disc, 6) Compact disc mailer (CD mailer), 7) Paperback book cover, and 8) Hardbound book cover. The corresponding slap fingerprint (4+4+2 prints) gallery images are captured using CrossMatch L-Scan Patrol at 500 dpi.
The database can be downloaded from here.
MOLF database has 19,200 fingerprints collected using from 100 subjects using five different capture methods: (i) Lumidigm Venus IP65 Shell, (ii) Secugen Hamster-IV, (iii) CrossMatch L-Scan Patrol, (iv) Latent fingerprints, and (v) simultaneous latent fingerprints lifted using black powder dusting process.
For more information please visit this page.
Simultaneous Latent Fingerprint(SLF) Database consists o
The database can be downloaded from the following link.
The IIIT-D latent fingerprint database is an exclusive database consisting of only latent fingerprint impressions of all 10 fingers of 15 subjects. Multiple instances are captured for every fingerprint, enabling latent to latent fingerprint comparison. The latent fingerprints are lifted from two different backgrounds - card and tile- trying to simulate different environments from which they are lifted. Also, the dryness of the skin friction ridge is varied to obtain multiple impressions of varying quality and information. There are in total 1046 latent fingerprints. Mated 500ppi and 1000ppi fingerprint sensor images are available. The 500ppi are slap images captured using Crossmatch L1scan. The 1000ppi images are captured using SecuGen Hamster IV. This database is made public to facilitate researchers to publish results over a common database.
The Rural Indian Fingerprint Database comprises images captured from both rural and urban population of India.
The database can be downloaded from here.
The database can be downloaded from here.
The database can be downloaded from here.
The database can be downloaded from here.
The database can be downloaded from here.
The DFW dataset consists of 1000 subjects and 11157 images. Pre-defined training and testing splits are provided, where 400 subjects form the training set, while the remaining 600 subjects form the test set. Each subject may contain normal, validation, disguised, and impersonator images.
The database can be downloaded from here
The KIVI database consists of video sequences of 503 individuals forming a total of 355 positive kin pairs from 211 families. For creating the proposed KIVI database, popular celebrity families are selected.
Further details here
This database contains videos captured both daytime and nighttime where the subject is at a standoff distance of 1-10
Further details here.
Multispectral Latex Mask based Video Face Presentation Attack (MLFP) is collected by Indraprastha Institute of Information Technology-Delhi (IIIT-D) and West
The database can be downloaded from here.
VIS+NIR Print Attack Database is coming soon...
IIIT-D Aging Database is coming soon...
Illicit Drug Abuse Face Database is coming soon...
Silicone Mask Attack Database (SMAD) consists of 65 videos of face biometric presentation attacks through real life silicone masks and 65 genuine face biometric access videos. The database is assembled to facilitate research efforts in building algorithms for unconstrained face presentation attack detection
The list of URLs is compiled in a text file.
The dataset contains 464 skull
For more information please visit this page.
The existing PRIP database is extended by adding another set by a user belonging to Indian ethnicity using the software FACES. This version is called as the extended PRIP or the E-PRIP database.
For more information please visit this page.
IIIT-Delhi Disguise Face Database is a dataset containing images pertaining to 75 subjects with different kinds of disguise variations. The version 1 of the dataset consists of images captured i
For more information please visit this page.
The IIIT-D RGB-D face database comprises of 106 male and female subjects with multiple RGB-D images of each subject. All the images are captured using a Microsoft Kinect sensor. The OpenNI API captures the RGB image and depth map as separate 24-bit images. Since the images are unsegmented, the database can be used for both face detection and recognition in RGB-D space. The number of images per subject
For more information please visit this page.
IIIT-Delhi WhoIsIt Database (WIT) has been superseded by IIIT-Delhi extendedWhoIsIt Database (eWIT).
IIIT-Delhi extendedWhoIsIt Database (eWIT) contains images of 200
For more information please visit this page.
IIIT-Delhi sketch database
For more details about the database, please visit here.
Disclaimer: This database consists of images collected from the internet. These forensic sketch-digital image pairs are collected in same spirit and understanding as the PubFig dataset and the Labeled Faces in the Wild (LFW) dataset. Therefore, we are sharing the direct link to the face images. Researchers can use this database but are not encouraged to publish any images from the database due to privacy reasons. Copyright of these images
NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.
This database is available only for research and educational purpose and not for any commercial use. If you use the database in any publications or reports, you must refer to the following paper:
The plastic surgery face database is a
The list of URLs is compiled in a text file along with a tool to download the images present at these URLs. The tool will download the images and store them at the specified location.
The Unconstrained Visible Spectrum Contact Lens Iris (UVCLI) database consists of 3,802 iris images captured in visible spectrum at two locations: indoors (with controlled illumination) and outdoors (with varying environmental scenarios) in two sessions.
The database can be downloaded from here.
The database can be downloaded from here.
Cataract Mobile Periocular Database (CMPD) contains periocular images of pre-surgery and post-surgery cataract patients. In pre-post surgery, 145 and 99 subjects are present. However, 56 subjects are common in pre, and post set. The database contains 2380 number of samples of 4608 x 3456 resolution. These images are captured via a mobile device which has 16-megapixel camera resolution.
The database can be downloaded from here.
IIITD-WVU dataset of LivDet Iris 2017 competition has been designed as a cross-database evaluation where the sensors
1) Train: The training set of IIITD-WVU dataset is developed using 2,250 real and 1,000 textured contact lens iris images from IIIT-Delhi Contact Lens Iris (CLI) database which is captured in controlled settings. Also, 3,000 print attack images are selected from IIITD Iris Spoofing (IIS) database. It contains 4 folders: Contacts (containing textured contact lens iris images), Printouts (containing print attack images of live/real iris images), Contacts+Printouts (containing print attack images of contact lens iris images), and Live (containing live/real iris images).
2) Test: It is a novel multi-session iris presentation attack detection dataset comprising 4,209 iris images. The images in this dataset are captured using IriShield MK2120U mobile iris sensor at two different locations: indoors (controlled illumination) and outdoors (varying environmental situations). In the two sessions of data collection, iris images are acquired one at a time while wearin
The database can be downloaded from the following link: IIIT-WVU subset of LivDet 2017 (1.81GB)
(CRC32: CRC-32: 55c27972, MD5: f1bad2ed4500099eb4fbc3db1c0100a2, SHA-1: 2005947639eb29a4b5ebcab1af067412a1e525f0)
To obtain the password for the compressed file, email the duly filled license agreement to databases@iab-rubric.org and afzel.noore@mail.wvu.edu with the subject line "License agreement for WVU Mobile Iris Spoofing Dataset". This database is available only for research and educational purpose and not for any commercial use.
NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar and send to both Email IDs. If a license agreement is signed by someone else, it will not be processed further.
Children Multimodal Biometric Database (CMBD) consists of iris, fingerprint, and face images of over 100 children (age range of 18 months to 4 years), acquired over two sessions. The iris images are captured using Cross-Match iris scanner, fingerprints are captured using Cross-Match L-scan slap fingerprint scanner and face images are captured using Nikon D90 DSLR. It has data for 106 across both the session and for all 3 modalities. However, to protect the identities of the participants, we have provided iris and fingerprint images only.
The database can be downloaded from here.
The multi-spectral periocular database used in this research comprises images from three
For more information please visit this page.
IIIT-D CLI database comprises of 6570 iris images pertaining to 101 subjects. Both left and right iris images of each subject are captured and therefore, there are 202 iris classes. The lenses used in the database are soft lenses manufactured by either CIBA Vision or Bausch and Lomb. For textured lenses, four colors are used. To study the effect of acquisition device on contact lenses, iris images are captured using two iris sensors: (1) Cogent dual iris sensor (CIS 202) and (2) VistaFA2E single iris sensor. The database contains a minimum of three images for each iris class in each of the
The database can be downloaded from the following link: IIITD CLI Database (1.1GB)
(CRC32: 19770433, MD5: BA3711CE6E997FF37E6788E2DE774A12, SHA-1: BDDD6E058520499B60D8A8925E23C9931F338289)
To obtain the password for the compressed file, email the duly filled license agreement to databases@iab-rubric.org with the subject line "License agreement for IIIT-D CLI Database". This database is available only for research and educational purpose and not for any commercial use.
NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.
The database can be downloaded from the following link: Iris Combined Spoofing Database (3.25GB)
(MD5: 4880E12A77CD494650688EEF592747DB, SHA-1: 982A10E3BA12DAE45E2CA3390D56354E1738E674)
To obtain the password for the compressed file, email the duly filled license agreement to databases@iab-rubric.org with the subject line "License agreement for Iris Combined Spoofing Database". This database is available only for research and educational purpose and not for any commercial use.
NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.