Philip Kahle, S. Colutto, Günter Hackl, Günter Mühlberger
{"title":"Transkribus - A Service Platform for Transcription, Recognition and Retrieval of Historical Documents","authors":"Philip Kahle, S. Colutto, Günter Hackl, Günter Mühlberger","doi":"10.1109/ICDAR.2017.307","DOIUrl":null,"url":null,"abstract":"Transkribus is a comprehensive platform for the computer-aided transcription, recognition and retrieval of digitized historical documents. The main user interface is provided via an open-source desktop application that incorporates means to segment document images, to add a transcription and to tag entities within. The desktop application is able to connect to the platform's backend, which implements a document management system as well as several tools for document image analysis, such as layout analysis or automatic/handwritten text recognition (ATR/HTR). Access to documents, uploaded to the platform, may be granted to other users in order to collaborate on the transcription and to share results.","PeriodicalId":433676,"journal":{"name":"2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"88","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2017.307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 88
Abstract
Transkribus is a comprehensive platform for the computer-aided transcription, recognition and retrieval of digitized historical documents. The main user interface is provided via an open-source desktop application that incorporates means to segment document images, to add a transcription and to tag entities within. The desktop application is able to connect to the platform's backend, which implements a document management system as well as several tools for document image analysis, such as layout analysis or automatic/handwritten text recognition (ATR/HTR). Access to documents, uploaded to the platform, may be granted to other users in order to collaborate on the transcription and to share results.