Arrowhead recognition during automated data capture

  • Authors:
  • G. Priestnall;R. E. Marston;D. G. Elliman

  • Affiliations:
  • Department of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom;Department of Computer Science, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom;Department of Computer Science, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1996

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Abstract

This paper presents a method of recognising arrowheads on engineering drawings during the automatic conversion of a paper drawing to a computer readable vector representation. The method takes advantage of a new data structure formed from the vector outlines extracted from the scanned bi-level image. Opposite outline vectors are paired where possible, creating a structure of linked outlines representing linear features, and unpaired areas at junctions, corners and endpoints. This data structure is descriptive and information preserving, and allows rule-based feature extraction modules to be developed. This paired outline data structure, and the method of extracting one type of standard arrowhead are described in detail. Results are presented and the potential for exploiting the paired outline data structure for recognition of different types of arrowhead and for features in other domains is discussed.