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.
Citation:
Jean Duong, Hubert Emptoz, "Cascade Classifier : Design and Application to Digit Recognition," icdar, pp.1065-1069, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005