• DocumentCode
    2075172
  • Title

    Research on lip detection based on Opencv

  • Author

    Pingxian, Yang ; Rong, Guo ; Peng, Guo ; Zhaoju, Fang

  • Author_Institution
    Dept. of Autom. & Electron.-Inf., Sichuan Univ. of Sci. & Eng., Zigong, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    1465
  • Lastpage
    1468
  • Abstract
    Lip-reading technology play an important role to improve the recognition rate of the speech recognition systems on the noise environment and to help the disabled in hearing communicate with others. Because the shape of lip has obvious changes when somebody is pronouncing, it is difficult to directly detect the lip region; on the contrary, the nose shape can not be able to have the obvious changes, and the face detection in opencv software has achieved considerable effect on detection face, so the paper has presented a method of detection lip; this method adopts the relative position of lip against to face and nose to detect the lip region. The experiments show that this method can quickly and efficiently extract the lip region, and improve the lip segmentation accurately.
  • Keywords
    computer vision; face recognition; handicapped aids; hearing; image segmentation; software libraries; speech recognition; Opencv; face detection; hearing disability; lip detection; lip segmentation; lip-reading technology; noise environment; nose shape; opencv software; recognition rate; speech recognition systems; Classification algorithms; Face; Feature extraction; Lips; Nose; Shape; Speech recognition; Adaboost algorithm; Haar features; Lip tracking; Lip-reading; Opencv;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199484
  • Filename
    6199484