Object recognition of Leukemia affected cells using DCC and IFS

Discriminative Canonical Correlations (DCC) technique is used to compare sets of images for Object Recognition. Canonical Correlations can be thought of as the angles between two d-dimensional subspaces, have recently attracted attention for image set matching. This technology is coupled with Iterated Function System (IFS) for images. This algorithm holds good for the fractal images to be compressed in a better way for the existing image set database. In this manuscript, how the Leukemia affected cells can be detected by using Discriminative Canonical Correlations technique coupled with Iterated Function Systems.