It does this in three stages: segmentation, encoding and matching. This process has come about after years of development, engineering and optimisation in real-word environments.
Segmentation is first step in this process. The image processing defines and identifies the sclera and the pupil. The iris is then isolated through segmentation so that a template can be generated. The iris region is represented in a rectangular or linear image using a process called normalisation. Although this makes certain features of the eye – such as the eyelashes and eyelid – appear slightly warped, it allows for a powerful format for the following steps of iris recognition.
The next step – masking – ensures that environmental factors such as sunlight, as well as eyelids and eyelashes, are excluded from the normalised image so that the iris appears isolated. Once the masking is complete, Dash Six encodes the iris image and generates a template. This template is a binary representation of the iris image.
Finally, matching occurs, in which two templates are rapidly compared and a decision is made whether the iris is a match or not.
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