The Indexing and Retrieval of Document Images: A Survey (1998)
| Venue: | Computer Vision and Image Understanding |
| Citations: | 71 - 3 self |
BibTeX
@ARTICLE{Doermann98theindexing,
author = {David Doermann and David Doermann},
title = {The Indexing and Retrieval of Document Images: A Survey},
journal = {Computer Vision and Image Understanding},
year = {1998},
volume = {70},
pages = {287--298}
}
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Abstract
The economic feasibility of maintaining large databases of document images has created a tremendous demand for robust ways to access and manipulate the information these images contain. In an attempt to move toward a paper-less office, large quantities of printed documents are often scanned and archived as images, without adequate index information. One way to provide traditional database indexing and retrieval capabilities is to fully convert the document to an electronic representation which can be indexed automatically. Unfortunately, there are many factors which prohibit complete conversion including high cost, low document quality, and the fact that many non-text components cannot be adequately represented in a converted form. In such cases, it can be advantageous to maintain a copy of and use the document in image form. In this paper, we provide a survey of methods developed by researchers to access and manipulate document images without the need for complete and accurate conve...
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