Sentence examples for filtering of the iris from inspiring English sources
Multiple overlapping filtering of the iris region approach is essential to encode the fine edges exhibited by the iris muscle tissue.
The vast majority of feature extraction algorithms follow the approach of Daugman [3], in which a binary feature vector, i.e. iris-code, is extracted by applying adequate filters to the iris texture in a row-wise manner.
For instance, if the filters are of the iris-coupled type then the iris nearest to the filter junction of filter A is placed λgb/4 from the junction where λgb is the guide wavelength in the passband of filter B. Likewise, the nearest iris of filter B is placed λga/4 from the junction.
The RED algorithm uses directional filtering to generate the iris template, a set of bits that meaningfully represents a person's iris.
H.-A. Park and K. R. Park [12] propose to use 1D long and short Gabor filters for extracting local and global features of the iris texture.
Iris recognition is very effective for person identification due to the iris' unique features and the protection of the iris from the environment and aging.
To report a case in an adult of xanthogranuloma of the iris that clinically simulated iris melanoma.
In the focal plane of the IRIS telescope, each pixel corresponds to a field of view of 50″ × 50″.
Once the iris is segmented, the algorithm takes the iris and divides it into concentric annuli and radial lines, which results in an representation of the iris.
