• DocumentCode
    3030879
  • Title

    Feature-based Object Recognition

  • Author

    Howarth, J.W. ; Bakker, H. H C ; Flemmer, R.C.

  • Author_Institution
    Sch. of Eng. & Adv. Technol. (SEAT), Massey Univ., Palmerston North
  • fYear
    2009
  • fDate
    10-12 Feb. 2009
  • Firstpage
    375
  • Lastpage
    379
  • Abstract
    The use of grey-scale contours, and fingerprints derived from this, has recently been used to analyse images for object recognition. The processing of these data can take a number of different forms. This paper describes a method for using characteristic aspects of the fingerprint, and geometrical relationships between them, to reduce an image to a set of simple geometric features. These features allow for compact storage in a database and very fast scanning to create a short list of candidate matching objects.
  • Keywords
    edge detection; fingerprint identification; geometry; image matching; object recognition; candidate matching objects; feature-based object recognition; geometric features; grey-scale contours; Automation; Computer vision; Feature extraction; Fingerprint recognition; Image analysis; Image databases; Machine vision; Object recognition; Robots; Spatial databases; artificial intelligence; artificial vision; computer vision; image contours; machine vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on
  • Conference_Location
    Wellington
  • Print_ISBN
    978-1-4244-2712-3
  • Electronic_ISBN
    978-1-4244-2713-0
  • Type

    conf

  • DOI
    10.1109/ICARA.2000.4804015
  • Filename
    4804015
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3030879