Change Classification in Graphics-Intensive Digital Documents
Pages 203 - 206
Abstract
This paper proposes an approach for the automatic detection and classification of changes occurring in images of documents with identical content, but generated with different software versions, or under different operating platforms. Our work is performed on a database of digitally-born business documents created using financial reporting tools. The proposed method involves a multi-stage process, where the end goal is to present to a human user the reports which have changed and the changes which were detected. Our main contribution is related to matching and comparing of graphical document elements. This paper focuses on detection of local, translation-based changes. Future work will explore other local changes involving size, color, and rotation.
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Index Terms
- Change Classification in Graphics-Intensive Digital Documents
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Information & Contributors
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Published In
September 2015
248 pages
ISBN:9781450333078
DOI:10.1145/2682571
- General Chair:
- Christine Vanoirbeek,
- Program Chair:
- Pierre Genevès
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Publication History
Published: 08 September 2015
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- Short-paper
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- SAP Academic Research Fellowship
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DocEng '15
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DocEng '15 Paper Acceptance Rate 11 of 31 submissions, 35%;
Overall Acceptance Rate 194 of 564 submissions, 34%
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