Document image analysis: A primer

被引:0
|
作者
Rangachar Kasturi
Lawrence O’Gorman
Venu Govindaraju
机构
[1] The Pennsylvania State University,Department of Computer Science & Engineering
[2] Avaya Labs,CEDAR
[3] State University of New York at Buffalo,undefined
来源
Sadhana | 2002年 / 27卷
关键词
OCR; feature analysis; document processing; graphics recognition; character recognition; layout analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Document image analysis refers to algorithms and techniques that are applied to images of documents to obtain a computer-readable description from pixel data. A well-known document image analysis product is the Optical Character Recognition (OCR) software that recognizes characters in a scanned document. OCR makes it possible for the user to edit or search the document’s contents. In this paper we briefly describe various components of a document analysis system. Many of these basic building blocks are found in most document analysis systems, irrespective of the particular domain or language to which they are applied. We hope that this paper will help the reader by providing the background necessary to understand the detailed descriptions of specific techniques presented in other papers in this issue.
引用
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页码:3 / 22
页数:19
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