| The Hong Kong Polytechnic University Completely Contactless Multipose Finger Knuckle Video Database |
It contains 805,768 images from 351 volunteers, with videos in 4K UHD format (resolution 3840×2160) at a frame rate of 60fps. |
2024 |
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The Hong Kong Polytechnic University |
| The Hong Kong Polytechnic University Single Shot Slap Fingerprint and Finger Knuckle Images Database |
There are a total 116 subjects participated in such imaging. For each subject, 5 imaging instances are acquired. |
2023 |
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The Hong Kong Polytechnic University |
| FMK |
This dataset was created from 20 different subjects. For each subject there are 3 images of major knuckle for the middle finger and 3 images of major knuckle for thumb finger. |
2023 |
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University of Sfax |
| The Hong Kong Polytechnic University 3D Finger Knuckle Images Database |
The data were collected from 228 different subjects, among whom 190 subjects voluntarily provided data in a second session. |
2020 |
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The Hong Kong Polytechnic University |
| The Hong Kong Polytechnic University Contactless Finger Knuckle Images Database (Version 3.0) |
This database has 1950 finger knuckle images from the index finger of 221 subjects, all the images are in .JPG format. |
2019 |
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The Hong Kong Polytechnic University |
| The Hong Kong Polytechnic University Contactless Hand Dorsal Images Database |
This database has 2505 hand dorsal images from the right hand of 501 different subjects. |
2016 |
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The Hong Kong Polytechnic University |
| The Hong Kong Polytechnic University Contactless Finger Knuckle Images Database (Version 1.0) |
This database has 2515 finger dorsal images from the middle finger of 503 subjects. |
2014 |
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The Hong Kong Polytechnic University |
| The Hong Kong Polytechnic University Mobile Phone Finger Knuckle Database |
This project has also developed a new smartphone based finger knuckle database from 561 finger knuckle images from 187 clients. |
2012 |
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The Hong Kong Polytechnic University |
| IT Delhi Finger Knuckle Database (Version 1.0) |
The database contains 790 images acquired from 158 users. The images, in bitmap format with a resolution of 80×100 pixels. |
2009 |
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IIT Delhi |