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


Erol A., Halici U.

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, Brighton, United Kingdom, 30 - 31 August 2000, pp.527-530 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Brighton
  • Country: United Kingdom
  • Page Numbers: pp.527-530
  • Middle East Technical University Affiliated: Yes

Abstract

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