Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
288
288
label
class label
2 classes
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
0bmp
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg
1jpg

Fingerprint Database

Dataset comprises 6,000+ fingerprint images from 100 individuals, with samples covering both hands and all ten fingers per person. It is designed for fingerprint identification, recognition systems, and forensic investigations, offering a robust resource for biometric data analysis, criminal investigations, and automated fingerprint matching.

By leveraging this dataset, researchers and law enforcement agencies can enhance fingerprint recognition algorithms, improve identification processes, and advance forensic sciences. - Get the data

Manually annotated latent-to-reference pairs enable precise training for fingerprint enhancement algorithms and AFIS (Automated Fingerprint Identification System) improvements.

Frequently Asked Questions

What makes this fingerprint dataset suitable for forensic research?

The dataset includes manually annotated latent-to-reference fingerprint pairs, allowing researchers to develop and evaluate fingerprint enhancement, matching, and identification algorithms. These annotations are particularly valuable for forensic workflows where latent fingerprints must be accurately linked to reference prints.

What file formats are included in the dataset?

The dataset provides fingerprint images in both PNG and BMP formats. These widely supported image formats"

๐Ÿ’ต Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

All images in this fingerprint dataset were captured using a ZKTeco ZK9500 optical scanner and are provided in PNG and BMP formats, making the data well-suited for biometric identification and security research.

๐ŸŒ UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects

Downloads last month
254