Regression approach to combination of decisions by multiple character recognition algorithms
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
A regression method is proposed to combine decisions of multiple character recognition algorithms. The method computes a weighted sum of the rank scores produced by the individual classifiers and derive a consensus ranking. The weights are estimated by a logistic regression analysis. Two experiments are discussed where the method was applied to recognize degraded machine-printed characters and handwritten digits. The results show that the combination outperforms each of the individual classifiers.