Dataset Description

IITI-HRF

• The IITI-HRF high-resolution fingerprint dataset contains fingerprint images of 100 subjects. It contains fingerprint images of 8 fingers (all fingers except the little fingers of both hands), each contributing eight impressions.
• These images are captured using the commercially available Biometrika HiScan-Pro fingerprint scanner. This scanner captures a fingerprint image of size 1000×1000 pixels.
• Our dataset, which contains 6400 (100×8×8) fingerprint images of size 1000×1000 pixels, is referred to as IITI-HRFC.
• Further, we have created a partial fingerprint image dataset (referred to as IITI-HRFP) by cropping a rectangular region of size 320×240 pixels around the center of each image in IITI-HRFC.
• We have also generated ground truth pore data for 20 fingerprints (belonging to 20 unique fingers) selected randomly from IITI-HRFP. These fingerprint images and their corresponding ground truth pore coordinates are collectively referred to as IITI-HRFP-GT.
• The dataset has been slipt into train and test set with 80-20 ratio.

IITI-HRF Extended

• IITI-HRF Extended (IITI-HRF-E) dataset extends the IITI-HRF dataset by adding fingerprint images of 49 new subjects (3136 images).
• Same procedure was used to gather the addtional data.
• Similar to IITI-HRF, IITI-HRF-E has two variants, i.e, IITI-HRFP-E and IITI-HRFC-E.
• The dataset has been slipt into a train and test set with an 80-20 ratio.

Summary

Dataset	Resolution (dpi)	Image Size (pixels)	Fingers	Total Images	Training Images	Testing Images
IITI-HRFP	1000	320x240	800	6400	5120	1280
IITI-HRFC	1000	1000x1000	800	6400	5120	1280
IITI-HRFP-E	1000	320x240	1184	9536	7624	1912
IITI-HRFC-E	1000	1000x1000	1184	9536	7624	1912

IITI-HRF Dataset Download

Fill out the form to download the IITI-HRF dataset

Authors

• A. Nema
• V. Anand
• V. Kanhangad

Citing

IITI-HRF

@article{anand2020porenet,
  title={PoreNet: CNN-based pore descriptor for high-resolution fingerprint recognition},
  author={Anand, Vijay and Kanhangad, Vivek},
  journal={IEEE Sensors Journal},
  volume={20},
  number={16},
  pages={9305--9313},
  year={2020},
  publisher={IEEE}
}

@article{anand2020unsupervised,
  author={Anand, Vijay and Kanhangad, Vivek},
  journal={IEEE Sensors Journal}, 
  title={Cross-Sensor Pore Detection in High-Resolution Fingerprint Images}, 
  year={2022},
  volume={22},
  number={1},
  pages={555-564},
  publisher={IEEE}
}

IITI-HRF-E

@inproceedings{nema2022fast,
  title={Fast High-Resolution Fingerprint Recognition using Domain-Knowledge Infused Global Descriptors},
  author={Nema, Aneesh and Anand, Vijay and Kanhangad, Vivek},
  booktitle={2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
  pages={1--8},
  year={2022},
  organization={IEEE},
  doi={10.1109/AVSS56176.2022.9959396}
}