变换不变SOM聚类在文档图像分析中的应用

14th International Conference on Image Analysis and Processing (ICIAP 2007) Pub Date : 2007-09-10 DOI:10.1109/ICIAP.2007.126

S. Marinai, E. Marino, G. Soda

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引用次数: 1

摘要

本文提出了将自组织映射(SOM)和切线距离相结合的方法用于文档图像分析中的有效聚类。所提出的模型(SOM_TD)用于字符和布局聚类，并应用于单词检索和页面分类。通过使用切线距离，可以改进SOM聚类，以便对输入模式的小局部变换具有更大的容忍度。

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Transformation invariant SOM clustering in Document Image Analysis

In this paper, we propose the combination of the self organizing map (SOM) and of the tangent distance for effective clustering in document image analysis. The proposed model (SOM_TD) is used for character and layout clustering, with applications to word retrieval and to page classification. By using the tangent distance it is possible to improve the SOM clustering so as to be more tolerant with respect to small local transformations of the input patterns.

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14th International Conference on Image Analysis and Processing (ICIAP 2007)

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