@InProceedings{MelgarFariVidaZagh:2016:CQCo,
               author = "Melgar, Max E. Vizcarra and Farias, Myl{\`e}ne C. Q. and Vidal, 
                         Fl{\'a}vio de Barros and Zaghetto, Alexandre",
          affiliation = "{University of Brasilia} and {University of Brasilia} and 
                         {University of Brasilia} and {University of Brasilia}",
                title = "A High Density Colored 2D-Barcode: CQR Code-9",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "CQR Code, Colored 2D-Barcodes, Color Segmentation.",
             abstract = "This paper presents an implementation of a colored 2D-barcode 
                         which is based on the structure of the CQR Code (Colored Quick 
                         Response Code). While the first version of the CQR Code (CQR 
                         Code-5) is a 2-D barcode of 5 colors, this new version (CQR 
                         Code-9) has 9 colors. In this paper we describe the implementation 
                         details of this new CQR Code. This new version of the CQR Code can 
                         store up to 2,048 information bits, requiring 4,576 redundancy 
                         bits. The Reed-Solomon error correction algorithm provides an 
                         error correction rate of 34.54%. Experimental tests were performed 
                         by printing CQR Codes in a 1.3 cm × 1.3 cm area. Results show that 
                         the CQR Code-9 is suitable for cryptographic applications that 
                         require that a high number of bits be stored in a small printed 
                         area.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.052",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.052",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M55SJL",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M55SJL",
           targetfile = "22.pdf",
        urlaccessdate = "2024, May 03"
}