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@InProceedings{MaranaJain:2005:RiFiMa,
               author = "Marana, Aparecido Nilceu and Jain, Anil K.",
          affiliation = "{UNESP  Faculdade de Ci{\^e}ncias  Departamento de 
                         Computa{\c{c}}{\~a}o  Bauru  SP  Brazil} and {Michigan State 
                         University  College of Engineering  East Lansing  Michigan - 
                         USA}",
                title = "Ridge-based fingerprint matching sing Hough Transform",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Fingerprint matching, ridge, Hough transform, biometrics.",
             abstract = "Despite the efficacy of minutia-based fingerprint matching 
                         techniques for good-quality images captured by optical sensors, 
                         minutia-based techniques do not often perform so well on 
                         poor-quality images or fingerprint images captured by small 
                         solid-state sensors. Solid-state fingerprint sensors are being 
                         increasingly deployed in a wide range of applications for user 
                         authentication purposes. Therefore, it is necessary to develop new 
                         fingerprint-matching techniques that utilize other features to 
                         deal with fingerprint images captured by solid-state sensors. This 
                         paper presents a new fingerprint matching technique based on 
                         fingerprint ridge features. This technique was assessed on the 
                         MSU-VERIDICOM database, which consists of fingerprint impressions 
                         obtained from 160 users (4 impressions per finger) using a 
                         solid-state sensor. The combination of ridge-based matching scores 
                         computed by the proposed ridge-based technique with minutia-based 
                         matching scores leads to a reduction of the false non-match rate 
                         by approximately 1.7% at a false match rate of 0.1%.",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "MaranaA_fingerprint.pdf",
        urlaccessdate = "2020, Nov. 28"
}


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