Please use this identifier to cite or link to this item:
Title: Algorithms for extracting text from degraded document images
Authors: Chen, Yan
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2007
Source: Chen, Y. (2007). Algorithms for extracting text from degraded document images. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: 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.
DOI: 10.32657/10356/2545
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
SCE-THESES_29.pdf11.9 MBAdobe PDFThumbnail

Page view(s) 50

Updated on May 12, 2021

Download(s) 20

Updated on May 12, 2021

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.