ULTRAVIOLET ANTI-COUNTERFEITING CHECK VERIFICATION METHOD

摘要

The invention relates to a ultraviolet anti-counterfeiting check verification method which solves subjective defect and time consuming problems of the traditional verification methods, and comprises the following steps: a. collecting ultraviolet gray level image by a ultraviolet scanner; b. extracting a first binary image from the ultraviolet gray level image; c. calculating a tilt angle of the first binary image; d. calculating tilt correction positions of pixels of the ultraviolet gray level image and the first binary image; e. determining a top left corner locating position of a first binary image rectangle; f. extracting a second binary image from the tilt corrected ultraviolet gray level image; g. performing position correction on the second binary image of a check to be verified; and h. calculating the matching degree between the second binary image of the check to be verified and a second binary image of a real check to verify authenticity.

主权项

1. A ultraviolet anti-counterfeiting check verification method, characterized in that a real check entry unit (11) stores a ultraviolet gray level image obtained by scanning a real check of a bank in advance, a to-be-verified unit (12) scans a check to be verified to obtain a ultraviolet gray level image, a authenticity verification unit (13) completes authenticity verification by tilting the ultraviolet gray level image of the real check and the check to be verified and performing position correction, and feeds the verification result back to a verifier, and steps of extracting information from the ultraviolet gray level image of the real check and the check to be verified in the authenticity verification unit (13) comprise:
(1) collecting a ultraviolet gray level image by a ultraviolet scanner; (2) extracting a first binary image from the ultraviolet gray level image; (3) calculating a tilt angle of the first binary image; (4) calculating a tilt correction position of each pixel of the ultraviolet gray level image and the first binary image; (5) determining a top left corner locating position of a first binary image rectangle; and (6) extracting a second binary image from the tilt corrected ultraviolet gray level image.