Multi Resolution Layout Analysis of Medieval Manuscripts Using Dynamic MLP

被引：14

作者：

Baechler, Micheal ^{[1
]}

Ingold, Rolf ^{[1
]}

机构：

[1] Univ Fribourg, Dept Informat, CH-1700 Fribourg, Switzerland

来源：

11TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR 2011) | 2011年

关键词：

Segmention; layout analysis; Multi-Layer Perceptrons; historical documents;

D O I：

10.1109/ICDAR.2011.239

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

This paper describes a generic layout analysis system for historical documents. It presents the architecture of a pyramidal approach using three analysis levels. Each level consists of a classifier using machine learning techniques where the output of the upper level is used as a feature in the lower level. The current implementation uses a so called Dynamic Multi-Layer perceptron (DMLP), which is a natural extension of MLP classifiers. The system is evaluated on medieval documents for which a multi-layer model is used to discriminate among 10 classes organized hierarchically.

引用

页码：1185 / 1189

页数：5

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