Posting Paper on the Web:  Document Component Recognition and Linking
Published: 1996
Language: eng
Number of pages: 86
Genres: nonfiction
First sentence: Recently, with growing interest in the Internet and the world wide web of information, considerable national interest and initiative have emerged in the creation and maintenance of digital collections or libraries containing huge corpora of information.
Description: A document processing system that takes scanned images of paper documents as input and produces hyperlinked electronic documents is presented.  The system segments document images, separating text from graphics, recognizes text, and creates hypertext links between document components (text, images, graphics).  The relative merits of several character recognition techniques are explored, including extracting attributes from grayscale vs. binary document images, using multiple character prototypes to recognize kerned and touching characters, using a lexicon to find and correct recognition errors, asking a user to recognize problem words, and re-training the recognizer on user recognized words.  A simple method for choosing important words in a document and creating hypertext links from those words to other document components is also presented.
Notes: Thesis (M.S.)--Brigham Young University, 1996. Includes bibliography.
Table of contents: pagenum: 1
label: 1
class: chapter
title: Introduction; pagenum: 3
title: Background
label: 2; pagenum: 3
title: Image Segmentation
label: 2.1; pagenum: 6
label: 2.2
title: Component Segmentation; pagenum: 7
label: 2.3
title: Component Classification; pagenum: 9
label: 2.4
title: Simultaneous Component Segmentation and Classification; pagenum: 10
title: Component Recognition
label: 2.5; pagenum: 16
label: 2.6
title: Component Linking; pagenum: 17
label: 2.7
title: Approach Taken by this Thesis; pagenum: 19
label: 3
title: Paper in - HTML out; pagenum: 20
title: Segmenting and Parsing Document Images
label: 3.1; pagenum: 30
title: Recognizing Text
label: 3.2; pagenum: 31
title: Projection profiles
label: 3.2.1; pagenum: 32
label: 3.2.2
title: Indentation profiles; pagenum: 34
title: Multiple character prototypes
label: 3.2.3; pagenum: 35
label: 3.2.4
title: Character resegmentation; pagenum: 35
title: Word level recognition
label: 3.2.5; pagenum: 38
title: User recognition
label: 3.2.6; pagenum: 40
title: Recognition algorithm
label: 3.2.7; pagenum: 41
title: Creating hypertext links
label: 3.3; pagenum: 45
label: 3.3.1
title: Indexing recognized documents; pagenum: 47
title: User supplied parameters
label: 3.3.2; pagenum: 47
title: Selecting link anchors or important words
label: 3.3.3; pagenum: 49
label: 3.3.4
title: Linking important words; pagenum: 50
title: Linking user supplied phrases
label: 3.3.5; pagenum: 50
label: 3.3.6
title: Verbose mode; pagenum: 53
label: 4
title: Results; pagenum: 60
label: 4.1
title: Accuracy of OCR techniques; pagenum: 60
label: 4.2
title: Appropriateness of Generated Links; pagenum: 69
label: 5
title: Conclusions; pagenum: 73
title: OCR Results
label: A; pagenum: 79
title: Well Separated OCR Test Image
label: B; pagenum: 81
title: Stop Words
label: C; pagenum: 83
title: Bibliography