@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 using 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, RN, Brazil",
      conference-year = "9-12 Oct. 2005",
                  doi = "10.1109/SIBGRAPI.2005.45",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.45",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/GEMNd",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GEMNd",
           targetfile = "MaranaA_fingerprint.pdf",
        urlaccessdate = "2024, May 03"
}