Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/38995
Title: Threshold selection and identification of character regions from complex scene images
Authors: Li, Li
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 1997
Abstract: In this research work, a comprehensive algorithm for alphanumeric character detection in general complex scene images is proposed, and specifically applied to car licence-number plate. Recently a number of papers dealing with this problem have been published. They can be broadly divided into two major approaches, i.e., edge-based approach in which the number-plate location is first detected, and grey-level-feature-based approach in which the character candidates are directly detected. These approaches usually need to make some assumptions or to put some constraints on the images to limit their searching work and to improve the success rate. In this thesis, we study the generalisations of the second approach by directly detect the alphanumeric characters at any location in the complex scene image with minimum image constraints.
URI: http://hdl.handle.net/10356/38995
Rights: NANYANG TECHNOLOGICAL UNIVERSITY
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
EEETHESES_49.pdf
  Restricted Access
15.1 MBAdobe PDFView/Open

Google ScholarTM

Check

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