# Face recognition with small and large size databases

arXiv: https://arxiv.org/abs/2204.08468 · HTML: https://mlsanity.com/paper/2204.08468/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 15 references that are in the map.
- First posted on arXiv 16 Apr 2022.

## Builds on (most cited first, 2 of 2)

- [Face identification by means of a neural net classifier](https://mlsanity.com/paper/2204.00305/) (2022)
- [Face recognition in a transformed domain](https://mlsanity.com/paper/2204.02608/) (2022)

## Abstract (arXiv)

This paper presents experimental results using the ORL (40 people) and FERET (994 people) databases. The ORL database can be useful for securing applications where few users attempting to access are expected. This is the case, for instance, of a PDA or PC where the password is the face of the user. On the other hand, the FERET database is useful for studying those situations where the number of authorized users is around a thousand people.