We investigate reducing the dimensionality of image sets by using principal component analysis on wavelet coefficients to maximize edge energy in the reduced dimension images. Lar...
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
— This work is to apply wavelet packet transformation for the recognition of isolated handwritten Malayalam (one of the south Indian languages) characters. The key idea is that c...
The paper proposes a blind spread spectrum watermarking scheme where watermark information is embedded redundantly in the multilevel wavelet coefficients of the cover image. It ha...
In this paper, we propose a novel scheme for automatic and fast detection of human faces in color images where the number, the location, the orientation and the size of the faces ...