NDLI: VisualDiff: Document Image Verification and Change Detection

Content Provider	IEEE Xplore Digital Library
Author	Jain, R. Doermann, D.
Copyright Year	2013
Description	Author affiliation: Language & Multimedia Process. Lab., Univ. of Maryland, College Park, MD, USA (Jain, R.; Doermann, D.)
Abstract	This paper explores the related problems of verification and change detection in document images. The goal is to determine if two document images differ, and if so, to determine precisely what content may have been added, deleted, or otherwise modified. This problem has many potential applications, especially for important legal documents such as contractual agreements. These agreements are often edited, shared and stored as scanned or hardcopy documents, where small, undetected changes between edits could create major differences in the contractual language and thus have severe repercussions. One can view the problem of change detection as tracing the revision history of a set of documents. Thus, in order to validate the performance of this approach, we created the "Enron Revisions" dataset. This dataset contains realistic revisions obtained from attachments in the Enron Corpus, and a series of before and after snapshots of the revisions in images with varying levels of noise from resolution, binarization, and blur. The approach taken in this paper utilizes the SIFT descriptor to align two document images without the benefit of OCR and once aligned, to compare dense descriptors to determine changes that have occurred within the image. As a baseline, this "VisualDiff" is compared to a UNIX diff-like approach on text extracted through OCR and results demonstrate the effectiveness of this approach.
Starting Page	40
Ending Page	44
File Size	311338
Page Count	5
File Format	PDF
ISBN	9780769549996
ISSN	15205363
DOI	10.1109/ICDAR.2013.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical character recognition software Feature extraction Image segmentation Accuracy Contracts Robustness Change detection algorithms Document Verification Change Detection Document Image
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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