US 12,443,751 B2
Anonymizing textual content in image training data
Daniel Albertini, Vienna (AT); Martin Cerman, Vienna (AT); Michael Schwarz, Vienna (AT); and Aniello Raffaele Patrone, Vienna (AT)
Assigned to ANYLINE GMBH, Vienna (AT)
Appl. No. 18/041,418
Filed by ANYLINE GMBH, Vienna (AT)
PCT Filed Aug. 13, 2021, PCT No. PCT/EP2021/072565
§ 371(c)(1), (2) Date Feb. 13, 2023,
PCT Pub. No. WO2022/034202, PCT Pub. Date Feb. 17, 2022.
Claims priority of application No. 20190903 (EP), filed on Aug. 13, 2020.
Prior Publication US 2024/0028763 A1, Jan. 25, 2024
Int. Cl. G06F 21/62 (2013.01); G06F 40/166 (2020.01); G06T 5/70 (2024.01); G06V 40/16 (2022.01)
CPC G06F 21/6254 (2013.01) [G06F 40/166 (2020.01); G06T 5/70 (2024.01); G06V 40/161 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for modifying image data, the method comprising:
loading unmodified image data;
detecting at least two alphanumeric characters in an image represented by the loaded image data;
selecting one or more of the detected alphanumeric characters, wherein the number of selected alphanumeric characters is smaller than the total number of detected alphanumeric characters;
modifying the loaded image data by removing one or more character sections of the loaded image data, wherein each character section corresponds to an area of a selected alphanumeric character;
modifying the loaded image data by shuffling one or more character sections of the loaded image data, wherein each character section corresponds to an area of an unselected alphanumeric character; and
storing the modified image data.