# Face recognition in a transformed domain

arXiv: https://arxiv.org/abs/2204.02608 · HTML: https://mlsanity.com/paper/2204.02608/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 10 references that are in the map.
- First posted on arXiv 6 Apr 2022.

## Builds on (most cited first, 1 of 1)

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

## Built on by (most cited first, 1 of 1)

- [Face recognition with small and large size databases](https://mlsanity.com/paper/2204.08468/) (2022)

## Abstract (arXiv)

This paper proposes the use of a discrete cosine transform (DCT) instead of the eigenfaces method (Karhunen-Loeve Transform) for biometric identification based on frontal face images. Experimental results show better recognition accuracies and reduced computational burden. This paper includes results with different classifiers and a combination of them.