• DocumentCode
    719719
  • Title

    Enhancement of low contrast biometric images using Genetic Algorithm

  • Author

    Medukonduru, Preethi ; Joshi, Madhuri A.

  • Author_Institution
    Dept. of Electron. & Telecommun., Coll. of Eng., Pune, India
  • fYear
    2015
  • fDate
    28-30 May 2015
  • Firstpage
    735
  • Lastpage
    739
  • Abstract
    The quality of the biometric input has a direct impact on the recognition accuracy of the biometric system. Captured biometric images usually suffer from low contrast and noise, which can reduce the Genuine Acceptance Rate (GAR) of the biometric system. In this work, a Genetic Algorithm based Histogram Hyperbolization (GA_HH) technique is proposed for enhancing the low contrast biometric images. Objective evaluation from the results obtained shows the superiority of our method.
  • Keywords
    biometrics (access control); genetic algorithms; image enhancement; GAR; GA_HH technique; genetic algorithm based histogram hyperbolization; genuine acceptance rate; low contrast biometric image enhancement; recognition accuracy; Biomedical imaging; Biometrics (access control); Indexes; Biometrics; Genetic Algorithm; Histogram Hyperbolization; Image Enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Instrumentation and Control (ICIC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/IIC.2015.7150839
  • Filename
    7150839
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=719719