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Choquet fuzzy integral in handwritten word recognition

机译:手写单词识别中的Choquet模糊积分

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Abstract: The Choquet fuzzy integral provides a useful mechanism for evidence aggregation. It is a flexible method which can represent weighted averages, medians, order statistics, and many other information aggregation mechanisms. In this paper, two applications are described to handwritten word recognition: as a match function in a dynamic programming based classifier and as a method for fusing the results from multiple word recognition algorithms. In the first case, the results are compared with traditional methods. In the second case, the results are compared with neural network and Borda count approaches. !26
机译:摘要:Choquet模糊积分为证据聚合提供了一种有用的机制。这是一种灵活的方法,可以表示加权平均值,中位数,顺序统计信息和许多其他信息汇总机制。在本文中,描述了手写单词识别的两个应用:作为基于动态编程的分类器中的匹配函数,以及作为融合来自多个单词识别算法的结果的方法。在第一种情况下,将结果与传统方法进行比较。在第二种情况下,将结果与神经网络和Borda计数方法进行比较。 !26

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