We also automatically generated 38,851 bounding boxes using the iris segmentation approach proposed by Bezerra et al.<\/a> for 3 well-known NIR databases:<\/span><\/p>\n We manually checked and corrected (if necessary) all annotations.<\/p>\n As can be seen in the samples below, we define as a coarse annotation the region around the region of interest (ROI) so that the edges of the bounding box remain outside the limits of the fine annotations proposed by Severo et al<\/a>. More specifically, the delimited region is larger than the one typically used in fine annotations, and the iris is not well-centered. Also, in some cases, the eyebrows were left out the ROI, as the images from some databases used in this work do not contain that region. The full details are in our paper<\/strong><\/a>.<\/p>\n Remark that we only provide the annotations, not the original images. However, we preserve the original names for equivalence purposes.<\/p>\n The annotations are released for academic research only and are free to researchers from educational or research institutes for non-commercial purposes<\/strong>.<\/p>\n Please click here<\/strong><\/a> to download the annotations.<\/p>\n If you use the annotations in your research please cite our paper [accepted for presentation at SIBGRAPI 2019]:<\/p>\n D. R. Lucio, R. Laroca, L. A. Zanlorensi, G. Moreira, D. Menotti, \u201cSimultaneous Iris and Periocular Region Detection Using Coarse Annotations,\u201d in Conference on Graphics, Patterns and Images (SIBGRAPI), Oct 2019, pp. 178-185. [IEEE Xplore<\/strong><\/a>] [PDF<\/strong><\/a>] [BibTeX<\/strong><\/a>] [Presentation<\/strong><\/a>]<\/p>\n\n
![\"Samples](\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2019\/08\/samples-1024x252.jpg\")
<\/p>\nHow to obtain the Annotations<\/h3>\n
References<\/h3>\n
Contact<\/h3>\n