Comparision of different algorithms for image classification

Image processing (baseline correction, outlier detection and elimination etc.) and every sample in an image is to be segmented. After the segmentation process statistics are to be created. Analysis with regard to dimensionality reduction techniques
Classifier training, and compare which classifer can reach good recognition rate.

Programming in python
All results to be documented