Image skew identification
AssigneeEnt. Services Development Corporation LP
InventorJoseph MILLER
Life of this patent
Estimating the term…
Abstract
A device including an eligibility engine to receive, and determine an eligibility of, a target object image. The device includes a comparison engine to compare to a monochromatic threshold representation of the target object image to each skew pattern of a library of pre-generated skew patterns associable with a reference object image to identify which pre-generated skew pattern best matches the monochromatic threshold representation of the target object image.
Claims15
A device comprising:
- an eligibility engine to receive, and determine an eligibility of, a target object image;
- a comparison engine to compare a monochromatic threshold representation of the target object image to each skew pattern of a library of pre-generated skew patterns associable with a reference object image to identify which pre-generated skew pattern best matches the monochromatic threshold representation;
- and
- a determination engine to determine, from the identify skew pattern, at least one of:
- an angle of attack from which the target object image was captured relative to a reference angle;
- and
- a distance between a target object within the target object image and an imager from which the target object image was captured.
A device including a processing resource to execute machine-readable instructions, stored in a non-transitory medium, to:
- receive, and determine an eligibility of, a target object image;
- and
- identify a degree of skew in the target object image via comparison of a monochromatic threshold representation of the target object image to a library of pre-generated skew templates associated with a reference object image to identify which pre-generated skew template best matches the monochromatic threshold representation, wherein each pre-generated skew template corresponds to a non-affine transformation of a two-dimensional pixel array performed along at least one of three perpendicular orientations.
A method comprising:
- receiving, and determining an eligibility of, a target object image;
- and
- identifying a degree of skew in the target object image via a comparison of a monochromatic threshold representation of the target object image to a library of pre-generated skew patterns associated with a reference object image to identify which respective pre-generated skew pattern best matches the monochromatic threshold representation, wherein each pre-generated skew pattern corresponds to a non-affine transformation of a two-dimensional pixel array performed along at least one of three perpendicular orientations;
- and
- upon the degree of skew meeting a first criterion, performing a comparison of a first radial histogram of the target object image to a second radial histogram of the reference object image to determine if the target object image matches the reference object image.
Dependencies are inferred from the claim text.