• DocumentCode
    3300551
  • Title

    Remaining fingerprint segmentation based on convex hull model

  • Author

    Feng, Wang

  • Author_Institution
    Sch. of Comput. & Inf., FuYang Teachers Coll., Fuyang, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    449
  • Lastpage
    453
  • Abstract
    For the problem that the remaining fingerprint cannot be segmented easily, this paper proposes a segmentation algorithm for fingerprint images with remaining ridges based on convex hull model. The algorithm firstly pre-processes fingerprint images,and then discrete points information of fingerprint ridge edge is extracted based on edge detection, subquently the center point as the seed point detects the potential fingerprint contour and using an improved method revised contour so as to obtain its convex hull. Finally we remove the remaining fingerprint based on connected region area calculation. The experimental results show that this method has high accuracy and noise immunity, And it can effectively segment the remaining fingerprint from the foreground.
  • Keywords
    edge detection; fingerprint identification; image segmentation; center point; connected region area; convex hull model; discrete points information; edge detection; fingerprint contour; fingerprint image segmentation; fingerprint ridge edge; noise immunity; seed point; Computer networks; Data mining; Educational institutions; Educational technology; Feature extraction; Fingerprint recognition; Image edge detection; Image matching; Image segmentation; Pixel; contour; convex hull; fingerprint segmentation; remaining fingerprint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Educational and Network Technology (ICENT), 2010 International Conference on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4244-7660-2
  • Electronic_ISBN
    978-1-4244-7662-6
  • Type

    conf

  • DOI
    10.1109/ICENT.2010.5532264
  • Filename
    5532264