Method for comparing iris images by the intelligent selection of textured areas

摘要

A method for comparing at least two iris images comprises determining M measurements each, of quality level associated with M regions each making up the first and second image. Said measurements are centered on M measurement points, the M measurements of the second image corresponding to the M measurements of the first image by the fact that the M measurement points of the second image correspond to the M measurement points of the first image. The method comprises merging the quality measurements, being obtained by the combination of two corresponding measurements belonging to the two images. The method also comprises selecting N regions exhibiting the N highest quality levels. The method also comprises encoding the two images by using the N selected regions to obtain a binary code for each image. Furthermore, the method comprises comparing the two binary codes to quantify the level of similarity between the two images.

主权项

1. A method for comparing at least two iris images comprising a step determining M measurements qi,j(1) representative of the quality level associated with M regions making up the first image, said regions being centered on M measurement points, a step determining M measurements qi,j(2) representative of the quality level associated with M regions making up the second image, said measurements being centered on M measurement points, the M measurements of the second image corresponding to the M measurements of the first image by the fact that the M measurement points of the second image correspond to the M measurement points of the first image, said method comprising: merging the quality measurements qi,j(1), qi,j(2), M merged measurements qi,j(f), being obtained by the combination of two corresponding measurements belonging to the two images;
selecting N regions exhibiting the N highest quality levels; encoding the two images by using the N selected regions so as to obtain a binary code for each image; and comparing the two binary codes so as to quantify the level of similarity between the two images.