Evaluation of pattern classifiers for fingerprint and OCR applications

@article{Blue1994EvaluationOP,
  title={Evaluation of pattern classifiers for fingerprint and OCR applications},
  author={James L. Blue and Gerald T. Candela and Patrick Grother and Rama Chellappa and Charles L. Wilson},
  journal={Pattern Recognition},
  year={1994},
  volume={27},
  pages={485-501}
}
In this paper we evaluate the classiication accuracy of four statistical and three neural network classiiers for two image based pattern classiication problems. These are ngerprint classiication and optical character recognition (OCR) for isolated handprinted digits. The evaluation results reported here should be useful for designers of practical systems for these two important commercial applications. For the OCR problem, the Karhunen-Lo eve (K-L) transform of the images is used to generate… CONTINUE READING