• DocumentCode
    736259
  • Title

    2D basic shape detection and recognition using hybrid neuro-fuzzy techniques: A survey

  • Author

    Chauhan, Parul C. ; Prajapati, Ghanshyam I.

  • Author_Institution
    Department of Information Technology, Shri S´ad Vidya Mandal Institute of Technology, Bharuch 392-001, Gujarat, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Image processing is mostly used in every area. The basic 2D shape refers to identify a location and register components of a particular object. The goal of basic 2D object detection is to identify the basic geometric shape of object present in image. In real world, Shape detection use in many area like developing intelligent system, face recognition, facial expression recognition, in medical. It uses some techniques and algorithms to detect object from the given image. This paper reviews the recent edge detection and shape recognition techniques also survey the techniques for edge detection and shape recognition that have proposed over the past decades. Edge detection and shape recognition is a challenging research topic to increase the richness of image processing area.
  • Keywords
    Face recognition; Image edge detection; Image segmentation; Noise measurement; Object recognition; Shape; Edge detection; Image processing; Shape recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253940
  • Filename
    7253940