Algorithms for extracting text from degraded document images

Algorithms for extracting text from degraded document images

The main objective of this research is to automatically separate text from the background in degraded scanned document images and locate individual words in the text. In this thesis, techniques are presented to extract the handwritten text from the noisy or degraded background.

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Bibliographic Details
Main Author: Chen, Yan
Other Authors: Leedham Charles Graham
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/2545
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Institution: Nanyang Technological University
Description
Summary:The main objective of this research is to automatically separate text from the background in degraded scanned document images and locate individual words in the text. In this thesis, techniques are presented to extract the handwritten text from the noisy or degraded background.

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