• Children Multimodal Biometric Database (CMBD)

    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.

    The database is comming soon...

  • Spoofed Fingerphoto Database

    Spoofed Fingerphoto Database consists of spoofed fingerphotos images captured using OnePlus One and Nokia while spoofed using iPad, Laptop, Nexus and printout. It has data for 128 classes(64 subjects * 2 fingers). This database contains spoofed images across 2 illumination variations and 2 background variations.

    The database can be downloaded from here.

  • IIITD SmartPhone Fingerphoto Database v1 (ISPFDv1)

    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)

    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.

  • Multisensor Optical and Latent Fingerprint Database

    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.

  • IIIT-D Simultaneous Latent Fingerprint Database

    Simultaneous Latent Fingerprint(SLF) Database consists of simultaneous latent fingerprint of 15 subject along with their mated 500ppi optical slap fingerprints. Simultaneous latent fingerprint are obtained using black powder dusting technique with a plain tile as background. Optical fingerprints are captured using Crossmatch LScan Patrol.

    The database can be downloaded from the following link.

    • IIIT-D SLF Database (690MB)
      (CRC32: F4E41CCE, MD5: 61CA12E724CCBD6EB95C8058EC00D01A, SHA-1: 2CF1A9C75901195BE1E93369593395C339DDFC6D)

    • 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 SLF Database".
      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:
    • A. Sankaran, M. Vatsa, and R. Singh, Hierarchical Fusion for Matching Simultaneous Latent Fingerprint, In Proceedings of International Conference on Biometrics: Theory, Applications and Systems, 2012.

  • IIIT-D Latent Fingerprint Database

    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 database can be downloaded from the following link.
    • Specifications of the Latent database (57KB)

    • IIIT-D Latent Fingerprint Database (6.1GB)
      (CRC32: 2B48F463, MD5: 0926FCC705DF8357E0BA7EF3522ECC2C, SHA-1: BA7C58649617256C7E5665BDD47C24AAC2349DC7)
    • IIIT-D Latent_Mated_500ppi Fingerprint Database (11MB)
      (CRC32: 7B551585, MD5: 07B0A6DB443BCAD7DCEC419447219D81, SHA-1: 4A0822CACBA79D3A9E0CE45AD738F02998CF4AF5)
    • IIIT-D Latent_Mated_1000ppi Fingerprint Database (33MB)
      (CRC32: 2FEA5E26, MD5: AAF96CCB875C1B42ABD1A1A8592A5AA5, SHA-1: FF9AE26B6EAD12C365CCAC82429DFE1C82D41F42)

    • 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 Latent Fingerprint Database".
      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:
    • A. Sankaran, T.I. Dhamecha, M. Vatsa, and R. Singh, On Matching Latent to Latent Fingerprints, In Proceedings of International Joint Conference on Biometrics, 2011.

  • Rural Indian Fingerprint Database

    The Rural Indian Fingerprint Database comprises images captured from both rural and urban population of India.

    • Download link (389MB)
    • (CRC32: 172A5837, MD5: BAC30E8C9CFC67C68336F13007677C28, SHA-1: 7B4B9B1D727CD2E3CA1A8E96A5B4CA9E05AAEDEA)

    • 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 Rural Indian Fingerprint Database".
      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:
    • C. Puri, K. Narang, A. Tiwari, M. Vatsa, and R. Singh, On Analysis of Rural and Urban Indian Fingerprint Images, In Proceedings of International Conference on Ethics and Policy of Biometrics and International Data Sharing, 2010.


  • Children Multimodal Biometric Database (CMBD)

    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.

    The database is comming soon...

  • Multispectral Latex Mask based Video Face Presentation Attack (MLFP) Coming soon...

    Multispectral Latex Mask based Video Face Presentation Attack (MLFP) is coming soon...

  • VIS+NIR Print Attack DatabaseComing soon...

    VIS+NIR Print Attack Database is coming soon...

  • SWAPPED - Digital Attack Face DatabaseComing soon...

    SWAPPED - Digital Attack Face Database is coming soon...

  • IIIT-D Aging DatabaseComing soon...

    IIIT-D Aging Database is coming soon...

  • Illicit Drug Abuse Face Database

    Illicit Drug Abuse Face Database is coming soon...

  • Silicone Mask Face Attack Database

    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.

    • Text file containing the URLs (7KB)
      (CRC32: 5068f528, MD5: 19ac5f9640032125e2084a9d23fb4d3c, SHA-1: 0cf73a281a6b309ee76fe155a7c7f385aaf3ce1e)
    • 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 Silicone Mask Face Attack Database".
      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:
    • I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting Silicone Mask based Presentation Attack via Deep Dictionary Learning, IEEE Transactions on Information Forensics and Security, Volume 12, No. 7, pp. 1713-1723, 2017


    • Disclaimer: The videos in the Silicone Mask Face Attack Database are downloaded from the internet. The time interval of spoof and genuine videos varies from 3 to 15 second and may differ from the original videos. Therefore, we are willing to share videos and their labels as used in our experiments. Please contact via e-mail for the same.

  • E-PRIP Database

    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

    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 in visible spectrum. It is named as IIIT-Delhi Disguise Version 1 face database (ID V1). The IIITD In and Beyond Visible Spectrum Disguise database (I2BVSD)consists of face images captured in visible as well as thermal spectrum. Thus, ID V1 is a subset of I2BVSD.
    For more information please visit this page.

  • IIIT-Delhi Kinect RGBD Face Database

    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 are variable with a minimum of 11 images and a maximum of 254. The total number of images in the database is 4605 and the size of each image is 640x480.

    For more information please visit this page.

  • WhoIsIt (WIT) Face Database

    IIIT-Delhi WhoIsIt Database (WIT) has been superseded by IIIT-Delhi extendedWhoIsIt Database (eWIT).

    IIIT-Delhi extendedWhoIsIt Database (eWIT) contains images of 200 well known personalities, with at least 10 images per subject. The images aim to capture the age and weight variations of the subjects over a period of time. The average age span per subject is 28.78 years. All the images have been downloaded from the internet and age has been estimated by the authors. The details of the database and performance of some well known face recognition algorithms is available in the papers mentioned below.

    For more information please visit this page.

  • IIIT-D Sketch Database

    IIIT-Delhi sketch database consist of three different types of sketches, namely, viewed, semi-forensic, and forensic sketches. Each user in the database has a sketch and a corresponding digital photograph. It introduces semi-forensic sketches that are drawn based on the memory of sketch artist to act as an intermediate representation between viewed and forensic sketches.
    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 are with the original creators.

      The database can be downloaded from the following link.
    • IIIT-D Sketch Database (670MB)
      (MD5: c814313ca2f98e829828769e91d736a5)
    • ReadMe
    • To obtain the password for the compressed file, kindly take a print out of the license agreement, fill it up and send the scanned copy to databases@iab-rubric.org. with the subject line "License agreement for IIIT-D Sketch Database".
      As soon as we obtain the signed license agreement in scanned form, we would provide you with the access to our database.
      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:
    • H.S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, Memetically Optimized MCWLD for Matching Sketches with Digital Face Images, IEEE Transactions on Information Forensics and Security, Vol. 5, No. 5, pp. 1522-1535, 2012.

  • Look Alike Face Database

    Look Alike face database consists of images pertaining to 50 well known personalities (from western, eastern, and asian origins) and their look-alikes. Each subject/class has five genuine images (total 50 x 5 genuine cases) and five look-alike images (total 50 x 5 look-alikes). To obtain the database, email the duly filled license agreement, to databases@iab-rubric.org with the subject line "License agreement for Look Alike Face Database".
    Database can be downloaded from here
    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:

  • Plastic Surgery Face Database

    The plastic surgery face database is a real world database that contains 1800 pre and post surgery images pertaining to 900 subjects. For each individual, there are two frontal face images with proper illumination and neutral expression: the first is taken before surgery and the second is taken after surgery. The database contains 519 image pairs corresponding to local surgeries and 381 cases of global surgery (e.g., skin peeling and face lift). The details of the database and performance evaluation of several well known face recognition algorithms is available in the paper mentioned below.

    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.

    • Text file containing the URLs (7KB)
      (CRC32: D132C4A2, MD5: 0FBE3041D95FEE000CAF263048B52480, SHA-1: 325AAED6F31E4AE1471DE44F91A9BC2B63B0AAFD)
    • Tool to download the images (11KB)
      (CRC32: 2548A7C1, MD5: 79DF4CF8D12B724DCB6B54827C9C9738, SHA-1: 44731E292E05FFE683C2BB5BC1A67216ACADF2DC)
    • 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 Plastic Surgery Face Database".
      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:
    • R. Singh, M. Vatsa, H.S. Bhatt, S. Bharadwaj, A. Noore and S.S. Nooreyezdan, Plastic Surgery: A New Dimension to Face Recognition, In IEEE Transaction on Information Forensics and Security, Vol. 5, No. 3, pp. 441-448, 2010.

      Disclaimer: The images in the plastic surgery database are downloaded from the internet and some of the subjects appear on different websites under different surgery labels. Therefore, this database may have some repetition of subjects across different types of surgeries. We have figured out multiple cases with such inconsistencies and provided an errata. If you come across some other cases as well, kindly report it to us.

      Please find the text file of errata. The images seperated by comma(,) represent the redundant entries in the database.


  • Children Multimodal Biometric Database (CMBD)

    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.

    The database is comming soon...

  • IIIT-Delhi Multi-spectral Periocular Database

    The multi-spectral periocular database used in this research comprises images from three spectrum:

    1. Visible
    2. Night Vision
    3. Near Infrared

    For more information please visit this page.

  • IIITD Contact Lens Iris Database

    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 above mentioned lens categories for both the iris. To perform the experiments for lens detection, images pertaining to the first 50 subjects are used for training and the remaining 51 subjects are used for testing.

    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.

    Publications

  • Iris Combined Spoofing Database

    TCombined spoofing database (CSD) consists of images from multiple publicly available spoofing databases. It consists of IIIT-Delhi Contact Lens Iris (CLI) Database, IIITD Iris Spoofing (IIS) Database, and Multi-sensor Iris Database. For experimental purposes, independently download Synthetic Database and IIT Delhi Iris Database to include in CSD.

    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.

    Publications
    • The publications details are: N. Kohli, D. Yadav, M. Vatsa, R. Singh, and A. Noore, Detecting Medley of Iris Spoofing Attacks using DESIST, In Proceedings of International Conference on Biometrics: Theory, Applications, and Systems, 2016.