ZONING DESIGN FOR HANDWRITTEN NUMERAL RECOGNITION
ZONING DESIGN FOR HANDWRITTEN NUMERAL RECOGNITION
复制标题
手写数字识别的分区设计
DOI：
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复制
发表时间：
2000
期刊：
影响因子：
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通讯作者：
A. Salzo
中科院分区：
文献类型：
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作者：
G. Dimauro;A. Guerriero;S. Impedovo;G. Pirlo;A. Salzo
在光学字符识别（OCR）领域，分区用于从模式中提取拓扑信息。本文将分区看作是一个优化问题的结果，提出了一种新的自动分区技术。更准确地说，基于香农熵估计的特征分布的局部分析被执行以确定模式的“核心”区域。一个迭代的区域增长程序应用于“核心”区，以确定最终的分区。
In the field of Optical Character Recognition (OCR), zoning is used to extract topological information from patterns. In this paper zoning is considered as the result of an optimisation problem and a new technique is presented for automatic zoning . More precisely, local analysis of feature distribution based on Shannon’s entropy estimation is performed to determine “core” zones of patterns. An iterative region-growing procedure is applied on the “core” zones to determine the final zoning .