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With rejection strategies in a handwriting recognition system, we are able to improve the reliability and accuracy of the recognized characters. In this paper, we propose several rejection strategies with multiple classifiers for handwritten character recognition. First, the rejection strategy for the single classifier is introduced, which is composed of three stages: initial scaling, confidence measure...
Document images captured by a mobile phone camera often have perspective distortions. Efficiency and accuracy are two important issues in designing a rectification system for such perspective documents. In this paper, we propose a new perspective rectification system based on vanishing point detection. This system achieves both the desired efficiency and accuracy using a multi-stage strategy: at the...
Combining all features coded by different systems can improve the performance of a classification system. In this paper, a strategy of boosting based feature combination is introduced, where a variant of boosting is proposed for integrating different features. Different from the general boosting, at each round of this variant boosting, some weak classifiers are built on different feature sets, one...
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