Databases
Publicly and Freely Available Biometrics Databases
The Hong Kong Polytechnic University 3D Finger Knuckle Images Database
Descriptions
Finger knuckle pattern is essentially a 3D biometric identifier. However, the capabilities from such 3D features have never been investigated for the biometrics identification. This two-session database been made publicly available to advance further research and development for the real world applications. This version of the database has been acquired from 228 different persons, using forefingers and also the middle finger fingers, and also provides segmented and reconstructed images from the photometric stereo approaches.
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The Hong Kong Polytechnic University Contactless Finger Knuckle Images Database (Version 3.0)
Descriptions
Contactless knuckle identification from the predetermined or fixed pose finger knuckle images can achieve very high match accuracy. However, a range of civilian, forensic and surveillance application require accurate capabilities to match knuckle images that are acquired from the completely contactless and varying finger poses. This two-session database is introduced in public domain, to develop and advance such biometrics matching capabilities, and has been acquired from 221 different subjects.
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PolyU-IITD Contactless Palmprint Images Database (Version 3.0)
Descriptions
Completely contactless user identification using palm images acquired from the mobile and handheld devices is a challenging research problem. This database has been acquired from over 600 different subjects, which is the largest to-date and is also made available in public domain to advance much needed research in this area. This database also provides two-session long interval (15+ years) palmprint images and includes a large number of images from real world subjects’ manual laborers, farmers, construction workers, etc., whose palm images are acquired under outdoor/ambient illumination.
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The Hong Kong Polytechnic University Contactless 2D to Contact-based 2D Fingerprint Images Database
Descriptions
The contactless fingerprint acquisition technologies have been introduced for better hygiene, security and to address problems with limited accuracy due to the deformations of fingerprint images while contact-based image acquisition. Significant degradation in matching accuracy is observed while using legacy fingerprint images to match with contactless fingerprint images. This two-session database from more than 300 clients using contactless and contact-based traditional sensors is provided in public domain to advance much needed research in this area.
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The Hong Kong Polytechnic University 3D Fingerprint Images Database Version 2.0
Descriptions
Currently there is no publicly available 3D fingerprint database which is acquired using colored illumination. Therefore a new two-session 2D/3D fingerprints database acquiring from 300 different clients consisting of 2760 different 3D fingerprints is developed. This database has been reconstructed from 5520 colored 2D fingerprints images and is being made available publicly to promote further research efforts in this area. As detailed in the reference, database was acquired during September 2014 to February 2016 in our university and uses 16560 2D fingerprint images to reconstruct entire 3D fingerprint database.
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The Hong Kong Polytechnic University Contactless Hand Dorsal Images Database
Descriptions
The Hong Kong Polytechnic University Contactless Hand Dorsal Images Database is contributed from the male and female volunteers. This database has been largely acquired in IIT Delhi Campus, in The Hong Kong Polytechnic University campus and in some villages in India during 2006-2015, mostly by using a mobile and hand held camera. This database has 2505 hand dorsal images from the right hand of 501 different subjects that illustrate three knuckle patterns in each of the four fingers from the individual subject. All the images are in bitmap (*.bmp) format. This database also has additional hand dorsal images from 211 different subjects but these images lack clarity or does not have second minor knuckle patterns. The combined database from 712 different subjects hand dorsal images is made publicly available. This database also provides two session hand dorsal images, with many samples in different age groups that have been acquired after very long interval ( 4 to 8 years) to support studies relating to the stability of knuckle patterns.
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The Hong Kong Polytechnic University Cross-Spectral Iris Images Database
Descriptions
This database of iris images has been acquired under simultaneous bi-spectral imaging, from both right and left eyes. This database consists of total 12,540 iris images which are acquired with 15 instances from 209 different subjects. Each of the iris images are of 640 x 480 pixels size and with pixel correspondences in both the near-infrared and visible iris images. Each subject data is stored in separate folder starting from 001 to 209. Each subject's folder consists of two folders, namely VIS and NIR. Again these two folders consists of two more folders for storing left and right iris images. Twelve subjects are also participated in second session and their left and right iris images are also available in this database.
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The Hong Kong Polytechnic University 3D Fingerprint Images Databases
Descriptions
The Hong Kong Polytechnic University 3D Fingerprint Images Databases collected from 260 clients, six images per clients, and the entire database of 1560 3D fingerprint images is being made available publicly to promote further research efforts in this area. The database was acquired during February 2012 to May 2012 in our university and uses 10920 2D fingerprint images to reconstruct entire 3D fingerprint database.
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The Hong Kong Polytechnic University Disguise and Makeup Faces Database
Descriptions
This database consists of 2460 different face images from 410 different subjects. These images have been acquired under real environment which primarily focuses on make-up and disguises covariates. This database also provides ground truth (eyeglass, goggle, mustache, and beard) to evaluate capability of advanced algorithms in automatically oredicting them for advanced surveillance capabilities. The people in the database are acquired from the publicly accessible websites. Majority of them are celebrities from the movie, music, sports and also politics. Celebrities from the Europe and US are the majority, along with some from Asia, Africa, Pacific and Middle East. Each person in the database has six images, the first image is selected to represent clean impression. The rest of the five face images are faces with different levels of makeup or disguise creating accessories.
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The Hong Kong Polytechnic University Contactless Finger Knuckle Images Database (Version 1.0)
Descriptions
The Hong Kong Polytechnic University contactless finger knuckle images database (Version 1.0) is contributed from the male and female volunteers. This database has been largely acquired in The Hong Kong Polytechnic University campus and IIT Delhi Campus during 2006-2013 using a contactless setup that simply uses a hand held camera. This database has 2515 finger dorsal images from the middle finger of 503 subjects, all the images are in bitmap (*.bmp) format. In this dataset about 88% of the subjects are younger than 30 years old.
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The Hong Kong Polytechnic University Contact-free 3D/2D Hand Images Database (Ver 1.0)
Descriptions
The 3D hand images in the database were acquired using a commercially available 3D digitizer Minolta VIVID 910. The data collection process spanned over 4 months and 177 subjects volunteered for the database. The participants were mainly the students and staff from our institute and were in the age range of 18 ~ 50 years, with multiple ethnic backgrounds. Each subject contributed 5 hand images (range and a registered intensity image acquired simultaneously) in the first session, followed by another 5 in the second session. Therefore our database currently has 3,540 hand images (of 3D and corresponding 2D). Time lapse between two data collection sessions was not fixed for all subjects; instead it ranged from a minimum of one week (only for 27 subjects) to three months. All the hand images were collected in indoor environment, with no restrictions on the surrounding illumination. In fact, our data collection process was carried out at three different locations which had notable variations in surrounding illuminations.
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The Hong Kong Polytechnic University Contact‐free 3D/2D Hand Images Database (Version 2.0)
Descriptions
The 3D hand images in the database were acquired using a commercially available 3D digitizer Minolta VIVID 910. The database acquisition was performed in our university. The volunteers were the student, staff of our university and also included visitors from elsewhere. This database currently contains 1140 right hand images (3D and the corresponding 2D) acquired from 114 subjects. In order to introduce considerable pose variations in the database, subjects were instructed to present their hand in five different poses.
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The Hong Kong Polytechnic University Finger Image Database (Version 1.0)
Descriptions
The Hong Kong Polytechnic University finger image database consists of simultaneously acquired finger vein and finger surface texture images from the male and female volunteers. This database has been largely acquired during April 2009 - March 2010 using a contactless imaging device in The Hong Kong Polytechnic University campus . The currently available database has 6264 images from the 156 subjects, all the images are in bitmap (*.bmp) format. In this dataset about 93% of the subjects are younger than 30 years. The finger images were acquired in two separate sessions with a minimum interval of one month, maximum interval of over six months and the average interval of 66.8 days.
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The Hong Kong Polytechnic University Low Resolution Fingerprint Database (Version 1.0)
Descriptions
The Hong Kong Polytechnic University low resolution fingerprint database consists of low resolution finger surface images images contributed from the the male and female volunteers. This database has been largely acquired in The Hong Kong Polytechnic University campus during April 2009 - March 2010 using a contactless setup that uses a low resolution and low-cost webcam. This database has 1466 images from the 156 subjects, all the images are in bitmap (*.bmp) format. In this dataset about 93% of the subjects are younger than 30 years old.
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IIT Delhi Ear Database (Version 1.0)
Descriptions
The IIT Delhi ear image database consists of the ear image database collected from the students and staff at IIT Delhi, New Delhi, India. This database has been acquired in IIT Delhi campus during Oct 2006 - Jun 2007 (still in progress) using a simple imaging setup. All the images are acquired from a distance (touchless) using simple imaging setup and the imaging is performed in the indoor environment. The currently available database is acquired from the 121 different subjects and each subject has at least three ear images. All the subjects in the database are in the age group 14 ~ 58 years.
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IIT Delhi Near IR Face Database (Version 2.0)
Descriptions
The IIT Delhi near infrared face image database consists of the faces collected from the students and staff at IIT Delhi, New Delhi, India. This database has been acquired in IIT Delhi campus during Feb - Jun 2007 using a webcam with near infrared illumination. The currently available database is from 102 users, all the images are in bitmap (*.bmp) format. All the subjects in the database are in the age group 17- 50 years. The database was acquired in two stages and in each stage three images were acquired for every user. The average interval between the two image acquisition phase is four week. The database of 612 images is organized into two folders (each with 306 images from 102 users). In each of the two available folders, the acquired images have been sequentially numbered for every user with an integer identification/number. The resolution of these images is 768 x 576 pixels and all these images are available in bitmap format. These images have wide variations in the pose and expression.
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IIT Delhi Iris Database (Version 1.0)
Descriptions
The IIT Delhi Iris Database mainly consists of the iris images collected from the students and staff at IIT Delhi, New Delhi, India. This database has been acquired in Biometrics Research Laboratory during Jan - July 2007 (still in progress) using JIRIS, JPC1000, digital CMOS camera. The image acquisition program was written to acquire and save these images in bitmap format and is also freely available on request. The currently available database is from 224 users, all the images are in bitmap (*.bmp) format. All the subjects in the database are in the age group 14-55 years comprising of 176 males and 48 females.
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IIT Delhi Touchless Palmprint Database (Version 1.0)
Descriptions
The IIT Delhi palmprint image database consists of the hand images collected from the students and staff at IIT Delhi, New Delhi, India. This database has been acquired in the IIT Delhi campus during July 2006 - Jun 2007 using a simple and touchless imaging setup. All the images are collected in the indoor environment and employ circular fluorescent illumination around the camera lens. The currently available database is from 235 users, all the images are in bitmap (*.bmp) format. All the subjects in the database are in the age group 12-57 years. Seven images from each subject, from each of the left and right hand, are acquired in varying hand pose variations.
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IIT Delhi Finger Knuckle Database (Version 1.0)
Descriptions
The IIT Delhi finger knuckle image database consists of the images acquired from the students and staff at IIT Delhi, New Delhi, India. This database has been acquired in IIT Delhi campus during August 2006 - Jun 2007 using a digital camera. The currently available database is from 158 users, all the images are in bitmap (*.bmp) format. All the subjects in the database are in the age group 16-55 years. This database of 790 images have been sequentially numbered for every user with an integer identification/number. The resolution of these images is 80 x 100 pixels and all these images are available in bitmap format.
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