Proceedings ArticleDOI
A system for recognition and description of graphics
Rangachar Kasturi,Sing-tze Bow,J.R. Gattiker,J. Shah,W. El-Masri,U.B. Mokate,S. Honnenahalli +6 more
- pp 255-259
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TLDR
A system for automatic recognition and description of graphical primitives and their interconnections in a mixed text/graphics image is described, and its robustness and performance have been evaluated tested using a number of test images.Abstract:
A system for automatic recognition and description of graphical primitives and their interconnections in a mixed text/graphics image is described. The input to the system is a high-resolution binary image obtained by scanning paper-based documents. The Hough transform is applied to the connected components of the image to locate and separate text strings of various font size and orientation. The graphics in the segmented image is processed to represent thin entities by their core lines and thick objects by their boundaries. Lines of various types are identified and segmented into straight line and curved line segments during this process. The line segments and their interconnections are analyzed to locate minimum redundancy loops which are adequate to generate a succinct description of the graphics. Various hatching and filling patterns in the image are identified and described. The algorithm has been implemented as software, and its robustness and performance have evaluated tested using a number of test images. The results for a simple test image are reported. >read more
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Journal ArticleDOI
An object model for image recognition
H. V. Jagadish,Lawrence O'Gorman +1 more
TL;DR: The use of object-oriented database principles to help model an image for computer vision, specifically, for line-image analysis, is described, and the resulting representation, called thin line code (TLC), is general across known applications and extensible to new applications.
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Knowledge-Based Interpretation of Utility Maps
TL;DR: In this paper a knowledge-based approach to the interpretation of public utility maps is presented, based on two types of a priori knowledge which are represented in a semantic network.
Journal ArticleDOI
Extraction of graphic primitives from images of paper based line drawings
TL;DR: The scope of this paper is the design of algorithms to process raster oriented binary images of paper based graphics to obtain vector oriented description files.
Reference EntryDOI
Graphical Symbol Recognition
K. C. Santosh,Laurent Wendling +1 more
TL;DR: The chapter focuses on one of the key issues in document image processing i.e., graphical symbol recognition, and covers several approaches and specially designed symbol recognition techniques inspired by real-world industrial problems.
Proceedings ArticleDOI
Efficient techniques for telephone company line drawing interpretation
TL;DR: The idea of using customizable tools to develop systems to interpret telephone company drawings, composed primarily of horizontal and vertical lines, which are composed of intersections as primitives is presented.
References
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Journal ArticleDOI
Block segmentation and text extraction in mixed text/image documents
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Journal ArticleDOI
From Paper Drawings to Computer-Aided Design
TL;DR: A Canadian feasibility study shows that the key to reliable and cost-effective automatic reading of drawings is detailed planning of an operator-assisted system.
From paper drawings to computer-aided design
TL;DR: In this paper, a feasibility study shows that the key to reliable and cost-effective automatic reading of drawings is detailed planning of an operator-assisted system, and that this is the case for most drawings.
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A Modular System for Interpreting Binary Pixel Representations of Line-Structured Data
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Proceedings ArticleDOI
Knowledge-Based Functional-Symbol Understanding In Electronic Circuit Diagram Interpretation
Chung-Lin Huang,J. T. Tou +1 more
TL;DR: New techniques for extracting symbols and denotations from the circuit diagram are presented in this paper, designed for junction and corner extraction, line segment tracing and linking, line segments classification, connection-line segment removal and blocking, symbol locating and denotation character grouping.