The effect of orientation map accuracy on fingerprint classification using PCA-MSOM

Fingerprint classification is an important part of an identification system and there are various approaches for solving this problem. In any pattern classification system the most important part is the feature extraction process. For fingerprints the orientation map is the most common and promising feature to be used for classification. Two different orientation map extraction algorithms are compared to find the one that gives the most reliable features for the PCA-MSOM classifier.