Cascade Classifier: Design and Application to Digit Recognition

Authors:
Jean Duong;Hubert Emptoz
Affiliations:
LIRIS-INSA, CEDEX , France;LIRIS-INSA, CEDEX , France
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

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Abstract

The focus of this paper is on machine learning. More specifically, a classifier combination is proposed. We name it "cascade classifier". Conceptually, this system is based on confusion analysis and local re-training mechanism. We describe its architecture. Experiments with handwritten digit images of the MNIST (Modified NIST) database are presented.