# Technological evaluation of two AFIS systems

arXiv: https://arxiv.org/abs/2203.00447 · HTML: https://mlsanity.com/paper/2203.00447/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 5 references that are in the map.
- First posted on arXiv 23 Feb 2022.

## Built on by (most cited first, 5 of 5)

- [Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health](https://mlsanity.com/paper/2202.12760/) (2022)
- [Biometric identification by means of hand geometry and a neural net classifier](https://mlsanity.com/paper/2204.03925/) (2022)
- [Study of a committee of neural networks for biometric hand-geometry recognition](https://mlsanity.com/paper/2204.03935/) (2022)
- [Biometric verification of humans by means of hand geometry](https://mlsanity.com/paper/2204.07764/) (2022)
- [Hand Geometry Based Recognition with a MLP Classifier](https://mlsanity.com/paper/2204.08469/) (2022)

## Abstract (arXiv)

This paper provides a technological evaluation of two Automatic Fingerprint Identification Systems (AFIS) used in forensic applications. Both of them are installed and working in Spanish police premises. The first one is a Printrak AFIS 2000 system with a database of more than 450,000 fingerprints, while the second one is a NEC AFIS 21 SAID NT-LEXS Release 2.4.4 with a database of more than 15 million fingerprints. Our experiments reveal that although both systems can manage inkless fingerprints, the latest one offers better experimental results