Face recognition in a transformed domain
This work addresses biometric identification for security or authentication systems, but it is incremental as it replaces one transform with another without a major breakthrough.
The paper tackled face recognition by proposing the discrete cosine transform (DCT) as an alternative to the eigenfaces method, resulting in better recognition accuracies and reduced computational burden.
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.