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PLUSVein-FV3 Finger Vein Data Set - Download Page | |||||||
This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI)
Department of the University of Salzburg led by Andreas Uhl.
Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and
Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood
industry.
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Finger Vein ScannerThe PLUSVein-FV3 LED-Laser Dorsal-Palmar Finger Vein Database was acquired with our two custom designed finger vein scanners, an NIR LED and a NIR laser module based version. The scanners are designed to capture 3 fingers (index, middle and ring finger) at once. Both scanners are based on an NIR enhanced industrial camera equipped with a 9 mm lens in combination with an NIR pass-through filter. Its main light source is a transillumination one consisting of 3 stripes (one underneath each finger) of NIR LEDs for the LED version or NIR laser modules for the laser version of the scanner, respectively. Each LED/laser module is brightness controlled individually and automatically based on a preset brightness value to achieve an optimal image contrast. An LED ring consisting of 8 850 nm LEDs, 8 950 nm LEDs and 8 daylight LEDs for capturing reflected light images is situated on top of the device and can be automatically brightness controlled too. To assist in positioning of the finger, the lower part contains a custom 3D printed finger support which also serves as a bracket for the 3 illumination stripes. Further information on the scanners and its design as well as an open-source repository containing all the scanner details can be found at: PLUS OpenVein Open Source Finger-Vein ScannerPLUSVein-FV3 Finger Vein DatabaseThe finger-vein data set itself consists of 4 subsets: one dorsal and one palmar finger-vein subset captured using transillumination with the LED and the laser module based scanner, respectively. Currently it contains subjects. fingers (left and right index, middle and ring finger) per subject and images per finger in session were captured for each of the four subsets. So each subset consists of the same individual fingers but captured from a different view - palmar for the first two and dorsal for the second two. Each scanner captures 3 fingers at a time. Thus, each subset contains raw finger-vein images. The images are then separated into 3 parts, corresponding to index, middle and ring finger, respectively. Hence, there are effectively images in each subset and images in total for the whole data set. The raw images have a resolution of pixels and are stored in 8 bit greyscale png format. The finger separated images have a resolution of pixels and the visible area of the finger inside the images is about pixels per finger. The ROI images are extracted with the help of edge detection mechanisms and by masking out the background in the images (setting the pixels to black). The ROI images have a size of pixels.The database is available for research purposes. The raw finger vein images, the separated single finger images as well as the ROI images can be obtained here. The ROIs have been generated by a combination of an automated ROI extraction based on the finger outline and a manual ROI extraction for those images where the automated one failed. The database is planned to be extended set by a second session as well as by adding further subjects in the future. Filename and Directory StructureFor the separated raw finger vein images as well as for the extracted ROI images the same directory structure applies:
[scanner name]_[DORSAL/PALMAR]_[session ID]_[user ID]_[finger ID]_[image ID].png
Obtaining the DatabaseTo obtain the PLUSVein-FV3 Finger Vein Database you have to agree to our license agreement:PLUSVein-FV3 Consent Form Please download, fill in and sign the license agreement and send it to A. Uhl or via mail to our department. After checking the license agreement you will be provided with a download link for both, the raw finger vein images as well as the extracted ROI images. | |||||||
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