The CVL Database is a public database for writer retrieval, writer identification and word spotting. The database consists of 7 different handwritten texts (1 German and 6 Englisch Texts). In total 310 writers participated in the dataset. 27 of which wrote 7 texts and 283 writers had to write 5 texts. For each text a rgb color image (300 dpi) comprising the handwritten text and the printed text sample is available as well as a cropped version (only handwritten). An unique id identifies the writer, whereas the Bounding Boxes for each single word are stored in an XML file.
\n\nThe CVL-database consists of images with cursively handwritten german and english texts which has been choosen from literary works. All pages have a unique writer id and the text number (separated by a dash) at the upper right corner, followed by the printed sample text. The text is placed between two horizontal separatores. Beneath the printed text individuals have been asked to write the text using a ruled undersheet to prevent curled text lines. The layout follows the style of the IAM database. The database was updated on 12/09/2013 since one writer ID (265/266) was wrong. The version number was changed to 1.1.
\n\nSamples of the following texts have been used:
\n\nThis database may be used for non-commercial research purpose only. If you publish material based on this database, we request you to include a reference to:
\n\nFlorian Kleber, Stefan Fiel, Markus Diem and Robert Sablatnig, CVL-Database: An Off-line Database for Writer Retrieval, Writer Identification and Word Spotting, In Proc. of the 12th Int. Conference on Document Analysis and Recognition (ICDAR) 2013, pp. 560-564, 2013.
", "publication_date": "2018-11-20", "publisher": "Zenodo", "references": [ { "reference": "Florian Kleber, Stefan Fiel, Markus Diem and Robert Sablatnig, CVL-Database: An Off-line Database for Writer Retrieval, Writer Identification and Word Spotting, In Proc. of the 12th Int. Conference on Document Analysis and Recognition (ICDAR) 2013, pp. 560-564, 2013." } ], "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "" }, "icon": "cc-by-nc-icon", "id": "cc-by-nc-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by-nc/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution Non Commercial 4.0 International" } } ], "subjects": [ { "subject": "writer identification" }, { "subject": "writer retrieval" }, { "subject": "word spotting" } ], "title": "CVL Database - An Off-line Database for Writer Retrieval, Writer Identification and Word Spotting" }, "parent": { "access": { "owned_by": { "user": "27488" } }, "communities": { "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2019-02-25T14:20:22.935346+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "09e3eed7-885e-45a7-b388-7dfaf7fc579f", "links": {}, "metadata": { "curation_policy": "Add "IAPR-TC11" to the community list of your upload to be listed by us.
\n\nPlease consider submitting your contributions to http://datasets.iapr-tc11.org as well.
\n\nIAPR TC11 topics of Interest include, but are not limited to:
\n\n", "description": "The International Association for Pattern Recognition (IAPR) Technical Committee Number 11 is concerned with the theory and applications of Reading Systems.", "page": "
IAPR TC11 is the International Association for Pattern Recognition (IAPR) Technical Committee Number 11. IAPR TC11 is concerned with the theory and applications of Reading Systems. We seek to study and develop systems that recognize character content and structure in handwritten and typeset documents, images, and video.
\n\nOfficial website: http://www.iapr-tc11.org
\n\nIAPR TC11 is the International Association for Pattern Recognition (IAPR) Technical Committee Number 11. IAPR TC11 is concerned with the theory and applications of Reading Systems. We seek to study and develop systems that recognize character content and structure in handwritten and typeset documents, images, and video.
\n\nThe TC11 of the IAPR has spawned a number of lively activities in the area of pattern recognition: a journal (IJDAR), three conference series (ICDAR, ICFHR and DAS), maintaining collections of data sets and software, numerous workshops, and a project for benchmarking on-line handwriting recognizers. It also organizes a summer school to promote high quality educational activities related to Reading Systems and Graphics Recognition.
", "title": "IAPR-TC11: Association for Pattern Recognition Technical Committee Number 11", "type": { "id": "organization" }, "website": "http://www.iapr-tc11.org/" }, "revision_id": 1, "slug": "iapr-tc11", "updated": "2024-03-04T09:36:13.280524+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2018-11-20T10:53:22.105721+00:00", "custom_fields": { "subjects": [ { "id": "euroscivoc:933" }, { "id": "euroscivoc:935" } ] }, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "6ad43134-6155-439f-a1c4-1d2231037ecd", "links": {}, "metadata": { "description": "The research unit is part of the Institute of Visual Computing & Human-Centered Technology, Faculty of Informatics, at the TU Wien, Austria.", "organizations": [ { "id": "04d836q62" } ], "page": "The research group is part of the Institute of Visual Computing & Human-Centered Technology, Faculty of Informatics, at the TU Wien, Austria. Our innovative, young lab (founded in May 2010), formerly part of the Pattern Recognition and Image Processing Group (PRIP), is headed by Prof. Robert Sablatnig.
\n\nWe are devoted to both basic and applied research in the field of Computer Vision or in other words: We are teaching computers to “see”. Computer Vision comprehends the natural world through images, image sequences, and films and reconstructs its properties, such as shape, illumination, and color distributions.
\n\n", "title": "Computer Vision Lab, TU Wien", "website": "https://cvl.tuwien.ac.at/" }, "revision_id": 2, "slug": "cvl", "updated": "2024-04-15T13:34:07.986787+00:00" } ], "ids": [ "09e3eed7-885e-45a7-b388-7dfaf7fc579f", "6ad43134-6155-439f-a1c4-1d2231037ecd" ] }, "id": "1492266", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1492266", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.1492267", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:1492267", "provider": "oai" } }, "revision_id": 8, "stats": { "all_versions": { "data_volume": 59330984583433.0, "downloads": 19327, "unique_downloads": 8780, "unique_views": 10198, "views": 12117 }, "this_version": { "data_volume": 59198249241481.0, "downloads": 19275, "unique_downloads": 8755, "unique_views": 10165, "views": 12078 } }, "status": "published", "swh": {}, "updated": "2022-04-05T12:44:52.932285+00:00", "versions": { "index": 1, "is_latest": true } }