The invention discloses an
iris image quality evaluation method and
system, and the method comprises the following specific steps: 1, image preprocessing: improving the
image quality, and highlighting the iris features; 2, feature region segmentation: detecting iris and
pupil boundaries by adopting a Hough circle transformation or
ellipse fitting technology, and detecting
eyelid and
eyelash boundaries by adopting Canny
edge detection gradient intensity; 3, multi-dimensional quality evaluation: comprehensively quantifying the
image quality through four indexes of available iris region calculation, contrast analysis, geometric characteristic evaluation and
image quality evaluation; 4, adjustable weight scoring: generating a comprehensive
quality score through a comprehensive quality scoring formula in combination with the adjustable weight of the user; and 5, interactive manual adjustment: the user can manually adjust the boundary of the iris and the
pupil, and the
evaluation result is updated in real time. The method is suitable for the fields of
iris recognition,
eye movement tracking, human-computer interaction,
medical diagnosis and the like, and has remarkable practicability and flexibility.