Please use this identifier to cite or link to this item:
Title: Text detection on images
Authors: Zhang, Luwei
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2013
Abstract: Detecting whether an image contains a short article becomes important these days. This project introduces a technique to detect whether there is a hidden short propaganda article embedded in an image to avoid censorship through text filtering. The Stroke Width Transform, image binaryzation and discrete Fourier transform methods will be used during the process. Moreover, this report also discusses about the advantages and shortcoming of each method.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
6.85 MBAdobe PDFView/Open

Page view(s)

Updated on Jun 20, 2024


Updated on Jun 20, 2024

Google ScholarTM


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