Rejection Strategies and Confidence Measures for a k - NN Classifier in an OCR Task

Authors:
Joaquim Arlandis;Juan C. Perez-Cortes;Javier Cano
Affiliations:
-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Year:
2002

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Abstract

In Handwritten Character Recognition, the rejection of extraneous patterns, like image noise, strokes or corrections, can improve significantly the practical usefulness of a system. In this paper, a combination of two confidence measures defi ned for a k-nearest neighbors classifier is proposed. Experiments are presented comparing the performance of the same system with and without the new rejection rules.