Information Extraction from Handwritten Tables in Historical Documents

被引：7

作者：

Andres, Jose ^{[1
]}

Ramon Prieto, Jose ^{[1
]}

Granell, Emilio ^{[1
]}

Romero, Veronica ^{[2
]}

Andreu Sanchez, Joan ^{[1
]}

Vidal, Enrique ^{[1
]}

机构：

[1] Univ Politecn Valencia, PRHLT Res Ctr, Valencia, Spain

[2] Univ Valencia, Dept Informat, Valencia, Spain

来源：

DOCUMENT ANALYSIS SYSTEMS, DAS 2022 | 2022年 / 13237卷

关键词：

Structured handwritten documents; Information extraction; Neural networks; DATABASE;

D O I：

10.1007/978-3-031-06555-2_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, significant advances have been made in Document Understanding in structured historical documents. However, not much research has been done in information extraction from handwritten structured historical documents. In this paper, we compare two Machine Learning approaches and another approach that is based on heuristic rules to extract information in historical pre-printed forms with handwritten information. We analyze how each approach performs at each step of the extraction process. The proposed approaches improve the heuristic-rule baseline by up to 0.14 F-measure points throughout the information extraction pipeline.

引用

页码：184 / 198

页数：15

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