拉丁手抄本文本行检测与重叠文本分割的鲁棒方法

Machine Graphics and Vision Pub Date : 2012-01-14 DOI:10.22630/mgv.2014.23.3.2

J. Pach, P. Bilski

{"title":"拉丁手抄本文本行检测与重叠文本分割的鲁棒方法","authors":"J. Pach, P. Bilski","doi":"10.22630/mgv.2014.23.3.2","DOIUrl":null,"url":null,"abstract":"The paper presents the modified method of the text lines separation in the handwritten manuscripts. Such an approach is required for the medieval text analysis, where multiple text lines overlap and are written at different angles. The proposed approach consists in dividing the bounding boxes into smaller components based on the points of the character curves intersection. The method considers the askew text lines, producing non-rectangular zones between the neighboring lines.","PeriodicalId":39750,"journal":{"name":"Machine Graphics and Vision","volume":"82 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Robust method for the text line detection and splitting of overlapping text in the Latin manuscripts\",\"authors\":\"J. Pach, P. Bilski\",\"doi\":\"10.22630/mgv.2014.23.3.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the modified method of the text lines separation in the handwritten manuscripts. Such an approach is required for the medieval text analysis, where multiple text lines overlap and are written at different angles. The proposed approach consists in dividing the bounding boxes into smaller components based on the points of the character curves intersection. The method considers the askew text lines, producing non-rectangular zones between the neighboring lines.\",\"PeriodicalId\":39750,\"journal\":{\"name\":\"Machine Graphics and Vision\",\"volume\":\"82 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Machine Graphics and Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22630/mgv.2014.23.3.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machine Graphics and Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22630/mgv.2014.23.3.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

提出了一种改进的手写体文本行分隔方法。中世纪文本分析需要这样的方法，其中多个文本行重叠并且以不同的角度书写。提出的方法是基于特征曲线交点将边界框划分为更小的组件。该方法考虑歪斜文本行，在相邻行之间产生非矩形区域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Robust method for the text line detection and splitting of overlapping text in the Latin manuscripts

The paper presents the modified method of the text lines separation in the handwritten manuscripts. Such an approach is required for the medieval text analysis, where multiple text lines overlap and are written at different angles. The proposed approach consists in dividing the bounding boxes into smaller components based on the points of the character curves intersection. The method considers the askew text lines, producing non-rectangular zones between the neighboring lines.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Machine Graphics and Vision Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： Machine GRAPHICS & VISION (MGV) is a refereed international journal, published quarterly, providing a scientific exchange forum and an authoritative source of information in the field of, in general, pictorial information exchange between computers and their environment, including applications of visual and graphical computer systems. The journal concentrates on theoretical and computational models underlying computer generated, analysed, or otherwise processed imagery, in particular: - image processing - scene analysis, modeling, and understanding - machine vision - pattern matching and pattern recognition - image synthesis, including three-dimensional imaging and solid modeling