# Testing report of a fingerprint-based door-opening system

arXiv: https://arxiv.org/abs/2202.11419 · HTML: https://mlsanity.com/paper/2202.11419/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 2 references that are in the map.
- First posted on arXiv 23 Feb 2022.

## Built on by (most cited first, 4 of 4)

- [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 describes the operational evaluation of a door-opening system based on a low-cost inkless fingerprint sensor. This system has been developed and installed for access control to one of our laboratories. Experimental results reveal that the system is working fine and no special cleaning requirements neither components replacement is needed. It can support more than 50 users, and an average of 74,5 access attempts per day in a 14-hour 5-day-per-week working. Emphasize is also given on some important facts to be taken into consideration when comparing and evaluating different products from different vendors.