Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14090
Title: Chart recognition and interpretation in document images
Authors: ZHOU YANPING
Keywords: Graphics Recognition,Chart Recognition and Interpretation,Hough Transform,Statistical Modeling,Hidden Markov Model,Zoned Directional X-Y Tree
Issue Date: 21-Sep-2004
Source: ZHOU YANPING (2004-09-21). Chart recognition and interpretation in document images. ScholarBank@NUS Repository.
Abstract: In graphics recognition, chart recognition and interpretation is a procedure to change scientific chart images into computer readable form. In this dissertation, we have investigated four problem domains in it. First, we propose a hierarchical statisticalmodel-based framework for chart recognition system. Second, we propose an improved projection-based plot area detection method to detect plot areas and a Hough-based axis detection algorithm to detect axes. Third, we propose a new approach for chart classification and segmentation based on statistical modeling. A novel chart classification approach based on Hidden Markov Models is proposed. A new approach for chart segmentation using optimal path finding is also proposed. Fourth, we propose a novel structure called zoned directional X-Y tree to hierarchically represent the text primitives in charts. An algorithm of generating the zoned directional X-Y tree is presented. Both results from chart segmentation and text primitive analysis are correlated for chart interpretation.
URI: http://scholarbank.nus.edu.sg/handle/10635/14090
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
MyDissertation_ZYP.pdf1.63 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

221
checked on Jan 14, 2018

Download(s)

282
checked on Jan 14, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.