28,000+ high-quality iris images of 1350 distinct eyes from 650+ different
individuals from a relatively diverse university town population were
collected. A small defined unobstructed portion of the normalized iris image is
selected as a key portion for quickly identifying an unknown individual when
submitting an iris image to be matched to a database of enrolled irises of the
1350 distinct eyes. The intrinsic dimension of a set of these key portions of
the 1350 enrolled irises is measured to be about four (4). This set is mapped
to a four-dimensional intrinsic space by principal components analysis (PCA).
When an iris image is presented to the iris database for identification, the
search begins in the neighborhood of the location of its key portion in the 4D
intrinsic space, typically finding a correct identifying match after comparison
to only a few percent of the database.

通过采集来自大学城相对多样的人口中的 650 多个不同个体的 1350 个独特眼睛的 28000 多张高质量虹膜图像，选择规范化虹膜图像的小部分作为快速识别未知个体时的关键部分，并将其与 1350 个独特眼睛的登记虹膜数据库匹配，从而测量这些关键部分集的内在维度约为四个，并通过主成分分析将其映射到四维的内在空间。当提供虹膜图像以进行识别时，搜索将从 4D 内在空间中的关键部分位置附近开始，通常在与数据库仅百分之几的比较后找到正确的识别匹配。