M.Sc.

Character Recognition Using Hybrid Image Transform

Character recognition plays an important role in the modern world. Character recognition is considered to be very important solution to many problems because of its numerous applications and theoretical values in the domain of pattern recognition. The only real problem is to design a system that can extract the right features efficiently.

English

Block Symmetry Predictor to Improve Fractal Image Compression

Various compression methods have been proposed to achieve high compression ratios and high image qualities in low computation time.One of these methods is Fractal Image Compression. The basic idea of fractal image compression is the partitioning of input image into nonoverlapping range blocks. For every range block a similar but larger domain block is found. The set of coefficients of mapping the domain

English