Title: Mass Digitization of Archival Documents using Mobile Phones
Language: English
Authors: Kleber, Florian 
Diem, Markus
Hollaus, Fabian 
Fiel, Stefan
Keywords: ScanTent; Document Scanning; Page Detection; Pattern Recognition; Image Processing; Document Analysis
Issue Date: 2017
Digital copies of historical documents are needed for the Digital Humanities. Currently, cameras of standard mobile phones are able to capture documents with a resolution of about 330 dpi for document sizes up to DIN A4 (German standard, 297 x 210 mm), which allows a digitization of documents using a standard device. Thus, scholars are able to take images of documents in archives themselves without the need of book scanners or other devices. This paper presents a scanning app, which comprises a real time page detection, quality assessment (focus measure) and an automated detection of a page turn over if books are scanned. Additionally, a portable device - the ScanTent - to place the mobile phone during scanning is presented. The page detection is evaluated on the ICDAR2015 SmartDoc competition dataset and shows a reliable page detection with an average Jaccard index of 75%.
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3361
Library ID: AC11365319
ISBN: 9781450353908
Organisation: E193 - Institut für Rechnergestützte Automation 
Publication Type: Inproceedings
Appears in Collections:Conference Paper

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