1. A computing device for cross-sensor iris matching, comprising: a memory; and a processor configured to execute executable instructions stored in the memory to determine whether an iris in a first image captured by a first sensor matches an iris in a second image captured by a second sensor by accounting for a difference between characteristics of the first sensor and characteristics of the second sensor, wherein accounting for the difference between characteristics of the first sensor and characteristics of the second sensor includes: dividing the first image and the second image into a plurality of corresponding frequency bands; generating an iris template for each of the frequency bands; matching a set of iris templates for the first image and a set of iris templates for the second image over different frequency bands using a defined weight for each of the frequency bands, wherein the weight for each respective frequency band depends on a difference between modulation transfer functions of the first and second sensor over that respective frequency band, and image quality metrics over that respective frequency band.