• DocumentCode
    238607
  • Title

    Fingerprint identification using feature extraction: A survey

  • Author

    Shrivastava, Ashish ; Srivastava, Devesh Kumar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Manipal Univ., Jaipur, India
  • fYear
    2014
  • fDate
    27-29 Nov. 2014
  • Firstpage
    522
  • Lastpage
    525
  • Abstract
    A literature survey of some techniques used to extract features of a fingerprint as well as matching them with the database is specified in this paper. Some of the surveyed research papers have used traditional procedures such as identification techniques and verification techniques, whereas the other articles have used novel methods. To design and develop a fingerprint feature extraction method and to match them using pixel details, first of all fingerprints of good quality are acquired using a high resolution scanner. Image enhancement and thinning could be done. Finally features are extracted and estimated. These estimated features are used to match with the template database using pixel based matching algorithm. The features are unique, which allow a single feature to be suitably matched with high possibility against a large database of features.
  • Keywords
    feature extraction; fingerprint identification; image enhancement; image matching; image resolution; image thinning; visual databases; Image enhancement; Image thinning; fingerprint acquisition; fingerprint feature extraction method; fingerprint feature matching; high resolution scanner; large database; pixel based matching algorithm; template database; Algorithm design and analysis; Biometrics (access control); Feature extraction; Fingerprint recognition; Gabor filters; Image edge detection; Image matching; Fingerprint Image; binarization; feature extraction; feature matching; identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing and Informatics (IC3I), 2014 International Conference on
  • Conference_Location
    Mysore
  • Type

    conf

  • DOI
    10.1109/IC3I.2014.7019653
  • Filename
    7019653