{"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/anveshak-a-groundtruth-generation-tool-for","title":"Anveshak - A Groundtruth Generation Tool for Foreground Regions of Document Images","arxiv_id":"1708.02831","date":"2017-08-09","proceeding":null,"authors":["Soumyadeep Dey","Jayanta Mukherjee","Shamik Sural","Amit Vijay Nandedkar"],"abstract":"We propose a graphical user interface based groundtruth generation tool in\nthis paper. Here, annotation of an input document image is done based on the\nforeground pixels. Foreground pixels are grouped together with user interaction\nto form labeling units. These units are then labeled by the user with the user\ndefined labels. The output produced by the tool is an image with an XML file\ncontaining its metadata information. This annotated data can be further used in\ndifferent applications of document image analysis.","url_abs":"http://arxiv.org/abs/1708.02831v1","url_pdf":"http://arxiv.org/pdf/1708.02831v1.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":"anveshak-a-groundtruth-generation-tool-for","repo_url":"https://github.com/soumyadeepdey/Anveshak","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}