Twine AIFinding high-quality palm recognition video datasets can be tricky, especially if you need particular demographics, lighting conditions, or video durations.
That’s why at Twine we specialize in helping companies create custom palm recognition video datasets and will help you get the data you need, no matter the demographics or requirements.
If you’re specifically looking for an off-the-shelf dataset then we’ve done the hard work for you.
Without further ado, here are the best palm recognition video datasets for you.
Here are our top picks for the Best Palm Recognition Video Datasets out there:
1. Towards PalmPrint Verification on Smartphones Dataset (MPD)
The Towards PalmPrint Verification on Smartphones Dataset (MPD) establishes an annotated palmprint dataset named MPD, which was collected by multi-brand smartphones in two separate sessions with various backgrounds and illumination conditions.
As the largest dataset in this field, MPD contains 16,000 palm images collected from 200 subjects. It is also built through a DCNN-based palmprint verification system named DeepMPV+ for smartphones.
In DeepMPV+, two key steps, ROI extraction, and ROI matching are both formulated as learning problems and then solved naturally by modern DCNN models.
2. Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset
The Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset is a large-scale and publicly available dataset comprising over 12,000 images acquired from 600 different palms in two separate collections sessions.
The effectiveness and efficiency of Palm R CNN have been verified through extensive experiments conducted on benchmark datasets.
3. IIT Delhi Touchless Palmprint Database
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 from July 2006 – June 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 230 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.
4. NIST Special Database 302
In the NIST Special Database collection, study participants needed to have their fingerprints captured using traditional operator-assisted techniques in order to quantify the performance of the Challenger devices.
There were four baselines (two rolled and two slap), eight challengers, and ten auxiliary fingerprint sensors deployed during the data collection, amassing a series of rolled and plain images.
Wrapping up
To conclude, here are top picks for the best Palm Recognition Video datasets:
- Towards PalmPrint Verification on Smartphones Dataset
- Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset
- IIT Delhi Touchless Palmprint Database
- NIST Special Database 302
We hope that this list has either helped you find a dataset for your project or, realize the myriad of options available to you.
If there are any datasets you would like us to add to the list then please let us know here.
If you would like to find out more about how we could help build a custom dataset for your project then please don’t hesitate to contact us!
Let us help you do the math – check our AI dataset project calculator.
Brown Walsh
Raksha