{"title":"从文档图像中检测和分割表和数学区域","authors":"Sekhar Mandal, S. Chowdhury, A. Das, B. Chanda","doi":"10.1145/1141277.1141469","DOIUrl":null,"url":null,"abstract":"We propose an algorithm to separate out tables and math-zones from document images. The algorithm relies on the spatial characteristics of tables and math-zones in a document. It has been observed that tables have distinct columns which imply that gaps between the fields are substantially larger than the gaps between the words in text lines and in math-zones the characters and symbols are less dense in comparison to normal text lines. These deceptively simple observations have led us to design a simple but powerful table and math-zone detection system with low computation cost.","PeriodicalId":269830,"journal":{"name":"Proceedings of the 2006 ACM symposium on Applied computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Detection and segmentation of tables and math-zones from document images\",\"authors\":\"Sekhar Mandal, S. Chowdhury, A. Das, B. Chanda\",\"doi\":\"10.1145/1141277.1141469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an algorithm to separate out tables and math-zones from document images. The algorithm relies on the spatial characteristics of tables and math-zones in a document. It has been observed that tables have distinct columns which imply that gaps between the fields are substantially larger than the gaps between the words in text lines and in math-zones the characters and symbols are less dense in comparison to normal text lines. These deceptively simple observations have led us to design a simple but powerful table and math-zone detection system with low computation cost.\",\"PeriodicalId\":269830,\"journal\":{\"name\":\"Proceedings of the 2006 ACM symposium on Applied computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2006 ACM symposium on Applied computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1141277.1141469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2006 ACM symposium on Applied computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1141277.1141469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection and segmentation of tables and math-zones from document images
We propose an algorithm to separate out tables and math-zones from document images. The algorithm relies on the spatial characteristics of tables and math-zones in a document. It has been observed that tables have distinct columns which imply that gaps between the fields are substantially larger than the gaps between the words in text lines and in math-zones the characters and symbols are less dense in comparison to normal text lines. These deceptively simple observations have led us to design a simple but powerful table and math-zone detection system with low computation cost.