US 12,260,584 B2
Technologies for detecting crop marks in electronic documents using reference images
Anshul Garg, Bangalore (IN); and Ajay Joshi, Bedford, MA (US)
Assigned to CIMPRESS SCHWEIZ GMBH, Winterthur (CH)
Filed by CIMPRESS SCHWEIZ GMBH, Winterthur (CH)
Filed on Mar. 10, 2022, as Appl. No. 17/691,816.
Claims priority of provisional application 63/159,845, filed on Mar. 11, 2021.
Prior Publication US 2022/0292716 A1, Sep. 15, 2022
Int. Cl. G06T 7/73 (2017.01); G06T 7/10 (2017.01); G06T 7/13 (2017.01); G06V 10/60 (2022.01)
CPC G06T 7/74 (2017.01) [G06T 7/10 (2017.01); G06T 7/13 (2017.01); G06V 10/60 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30204 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method of detecting crop marks, the computer-implemented method comprising:
detecting, by a processor, a set of crop marks within a reference digital image;
determining, by the processor, a position of the reference digital image within an input digital image, wherein the input digital image comprises a set of partial crop marks;
mapping, by the processor based on the position of the reference digital image within the input digital image, a set of locations of the set of crop marks detected in the reference digital image to the input digital image; and
based on mapping the set of locations of the set of crop marks to the input digital image, detecting the set of partial crop marks within the input digital image.