Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Size:
< 1K
Tags:
fingerprint identification
recognition systems
forensic investigations
biometric data
automated fingerprint matching
fingerprint
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,23 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-nc-nd-4.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-nd-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- image-classification
|
| 5 |
+
tags:
|
| 6 |
+
- fingerprint identification
|
| 7 |
+
- recognition systems
|
| 8 |
+
- forensic investigations
|
| 9 |
+
- biometric data
|
| 10 |
+
- automated fingerprint matching
|
| 11 |
+
- fingerprint
|
| 12 |
+
size_categories:
|
| 13 |
+
- 1K<n<10K
|
| 14 |
+
---
|
| 15 |
+
# Fingerprint Database
|
| 16 |
+
Dataset comprises **6,000+** fingerprint images from **100** individuals, each paired with 5-7 distorted or latent versions to simulate real-world forensic challenges. 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**.
|
| 17 |
+
|
| 18 |
+
By leveraging this dataset, researchers and law enforcement agencies can enhance **fingerprint recognition algorithms**, improve **identification processes**, and advance forensic sciences. - **[Get the data](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=github-org&utm_medium=referral&utm_campaign=forensic-fingerprint-dataset)**
|
| 19 |
+
|
| 20 |
+
Manually annotated latent-to-reference pairs enable precise training for fingerprint enhancement algorithms and AFIS (Automated Fingerprint Identification System) improvements.
|
| 21 |
+
## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=github-org&utm_medium=referral&utm_campaign=forensic-fingerprint-dataset) to discuss your requirements and pricing options.
|
| 22 |
+
Each set includes 1 high-quality fingerprint image and 5-7 distorted variants, simulating real-world challenges with smudges, partial prints, dry/wet fingers, and pressure artifacts.
|
| 23 |
+
## 🌐 [UniData](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=github-org&utm_medium=referral&utm_campaign=forensic-fingerprint-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
|