• DocumentCode
    3268925
  • Title

    A Study on Hybrid Approaches in Image Recognition System

  • Author

    Duan, Bobo ; Yang, Chunyang ; Liu, Wei ; Wen, Xuezhi ; Yuan, Huai

  • Author_Institution
    Northeastern Univ., Shenayng
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    1072
  • Lastpage
    1076
  • Abstract
    Hybrid approaches have been applied widely in image recognition system to adapt the increasing requirement of real-time and high accuracy and there are a lot of successful hybrid image recognition algorithms. To use hybrid approaches more effectively, some basic research about it is very necessary. This paper analyzes current typical hybrid samples, then presents basic hybrid image recognition patterns and evaluates their performance about real-time, accuracy, robustness, expandability and flexibility. At last a developing hybrid image recognition system would be introduced as a sample.
  • Keywords
    image recognition; robust control; accuracy; expandability; flexibility; hybrid approaches; image recognition system; robustness; Automotive engineering; Classification tree analysis; Face recognition; Feedforward neural networks; Handwriting recognition; Image recognition; Neural networks; Pattern recognition; Real time systems; Robustness; Accuracy; Expandability; Flexibility; Hybrid; Image Recognition System; Real-Time; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2007 IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1931-0587
  • Print_ISBN
    1-4244-1067-3
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2007.4290259
  • Filename
    4290259