{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/larex-a-semi-automatic-open-source-tool-for","title":"LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books","arxiv_id":"1701.07396","date":"2017-01-20","proceeding":null,"authors":["Christian Reul","Uwe Springmann","Frank Puppe"],"abstract":"A semi-automatic open-source tool for layout analysis on early printed books\nis presented. LAREX uses a rule based connected components approach which is\nvery fast, easily comprehensible for the user and allows an intuitive manual\ncorrection if necessary. The PageXML format is used to support integration into\nexisting OCR workflows. Evaluations showed that LAREX provides an efficient and\nflexible way to segment pages of early printed books.","url_abs":"http://arxiv.org/abs/1701.07396v1","url_pdf":"http://arxiv.org/pdf/1701.07396v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"larex-a-semi-automatic-open-source-tool-for","repo_url":"https://github.com/chreul/LAREX","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"larex-a-semi-automatic-open-source-tool-for","repo_url":"https://github.com/OCR4all/LAREX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"optical-character-recognition","task_name":"Optical Character Recognition (OCR)"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}