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
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# Fingerprint Database
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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**.
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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=
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Manually annotated latent-to-reference pairs enable precise training for fingerprint enhancement algorithms and AFIS (Automated Fingerprint Identification System) improvements.
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## 💵 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=
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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.
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## 🌐 [UniData](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=
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# Fingerprint Database
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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**.
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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=huggingface-org&utm_medium=referral&utm_campaign=forensic-fingerprint-dataset)**
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Manually annotated latent-to-reference pairs enable precise training for fingerprint enhancement algorithms and AFIS (Automated Fingerprint Identification System) improvements.
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## 💵 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=huggingface-org&utm_medium=referral&utm_campaign=forensic-fingerprint-dataset) to discuss your requirements and pricing options.
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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.
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## 🌐 [UniData](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=huggingface-org&utm_medium=referral&utm_campaign=forensic-fingerprint-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
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