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@InProceedings{BastosAngeLoul:2015:ReStGe,
               author = "Bastos, Igor Leonardo Oliveira and Angelo, Michele F{\'u}lvia and 
                         Loula, Angelo Conrado",
          affiliation = "{Federal University of Bahia - UFBA} and {State University of 
                         Feira de Santana - UEFS} and {State University of Feira de Santana 
                         - UEFS}",
                title = "Recognition of Static Gestures Applied to Brazilian Sign Language 
                         (Libras)",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim, 
                         Ricardo Guerra and Farrell, Ryan",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Histogram of Oriented Gradients, Zernike Invariant Moments, Neural 
                         Networks, Gesture Recognition, Libras.",
             abstract = "This paper aims at describing an approach developed for the 
                         recognition of gestures on digital images. In this way, two shape 
                         descriptors were used: the histogram of oriented gradients (HOG) 
                         and Zernike invariant moments (ZIM). A feature vector composed by 
                         the information acquired with both descriptors was used to train 
                         and test a two stage Neural Network, which is responsible for 
                         performing the recognition. In order to evaluate the approach in a 
                         practical context, a dataset containing 9600 images representing 
                         40 different gestures (signs) from Brazilian Sign Language 
                         (Libras) was composed. This approach showed high recognition rates 
                         (hit rates), reaching a final average of 96.77%.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "en",
           targetfile = "PID3766353.pdf",
        urlaccessdate = "2021, Dec. 07"
}


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