Face recognition in a transformed domain
Not on the map. Why?
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.
Key facts. Cited by 1 paper 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
1 of 10 references.
References · 1
- 2022Face identification by means of a neural net classifiercited by 2
Built on by
Citing papers per year: 2022: 1.
1 paper.
- 2022Face recognition with small and large size databasescited by 0
- 2022Face recognition with small and large size databases16 Apr 2022