Perceptually-supported image editing of text and graphics
Proceedings of the 16th annual ACM symposium on User interface software and technology
Document Image Dewarping using Robust Estimation of Curled Text Lines
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
The hOCR Microformat for OCR Workflow and Results
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Parsing Tables by Probabilistic Modeling of Perceptual Cues
DAS '12 Proceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems
Information extraction efficiency of business documents captured with smartphones and tablets
Proceedings of the 2013 ACM symposium on Document engineering
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The Receipts2Go system is about the world of one-page documents: cash register receipts, book covers, cereal boxes, price tags, train tickets, fire extinguisher tags. In that world, we're exploring techniques for extracting accurate information from documents for which we have no layout descriptions -- indeed no initial idea of what the document's genre is -- using photos taken with cell phone cameras by users who aren't skilled document capture technicians. This paper outlines the system and reports on some initial results, including the algorithms we've found useful for cleaning up those document images, and the techniques used to extract and organize relevant information from thousands of similar-but-different page layouts.