Abstract
Abstract In current research, one of scientific methods to discriminate between populations will be treated. This can be done by using (Matlab) program to transfer digital photo to a digital form, after that photo has been treated as an independent population, then we analyzed data and compare the results. It is important to imitate them by using canonical discriminate function to classify digital photos that will give us a new way of facilitation search. However, after we transferred it to the digital form, we depend on a higher eigenvector who is corresponding higher eigenvalue. This one according to the number of population we dial with it. In this research, we considered four populations, and every population is digital photo we transferred it to data by using (Matlab) program, symbolic every population depending on the canonical discriminate. We depended on many program (SPSS, Minitab, S-Plus, Matlab) to get the result of three higher eigenvalue which corresponding three higher eigenvector for (A) Matrix. The final steps assimilation has been demonstrated to get three canonical discriminate functions to discriminate between digital photos which facilitate the eigenvector for (A) matrix, and the resulted as the flowing, discriminate between digital photos in the first canonical discriminate function which is the best one. The second rank is the second canonical discriminate function; in the last stage is the third canonical discriminate function. .
