US 12,444,231 B2
Method for identifying a person by means of facial recognition, identification apparatus and computer program product
Andreas Wolf, Berlin (DE)
Assigned to Bundesdruckerei GmbH, Berlin (DE)
Appl. No. 17/635,550
Filed by Bundesdruckerei GMBH, Berlin (DE)
PCT Filed Aug. 13, 2020, PCT No. PCT/DE2020/100708
§ 371(c)(1), (2) Date Feb. 15, 2022,
PCT Pub. No. WO2021/032248, PCT Pub. Date Feb. 25, 2021.
Claims priority of application No. 10 2019 122 119.6 (DE), filed on Aug. 16, 2019.
Prior Publication US 2022/0300644 A1, Sep. 22, 2022
Int. Cl. G06V 40/16 (2022.01); G06F 21/32 (2013.01); G06F 21/62 (2013.01)
CPC G06V 40/171 (2022.01) [G06F 21/32 (2013.01); G06V 40/165 (2022.01); G06V 40/172 (2022.01); G06F 21/6245 (2013.01)] 16 Claims
OG exemplary drawing
 
1. Method for identifying a person by means of facial recognition using an identification apparatus, comprising:
providing a depersonalized data set, wherein
the depersonalized data set is calculated from a personalized data set by means of a data transformation according to a transformation rule,
the personalized data set comprises facial image data for a person to be identified, on the basis of which the person to be identified is identifiable using at least one facial recognition algorithm, and
the depersonalized data set, on the basis of the personalized data set, is modified due to the use of the data transformation according to the transformation rule in such a way that the person to be identified is no longer identifiable on the basis of the depersonalized data set, which comprises facial image data which have been modified in accordance with the transformation rule, using the at least one facial recognition algorithm;
providing transformation data which indicate the transformation rule, wherein the transformation data which indicate the transformation rule are read in to the identification apparatus via a communication interface of the identification apparatus;
calculating a re-personalized data set from the depersonalized data set, wherein the re-personalized data set, on the basis of the depersonalized data set, is modified by means of a further data transformation according to an at least partial reversal of the transformation rule in such a way that the person to be identified is identifiable on the basis of the re-personalized data set using the at least one facial recognition algorithm or at least one other facial recognition algorithm which is different from the at least one facial recognition algorithm;
receiving current facial image data for the person to be identified, where the current facial image data is acquired on site from the person to be identified; and
processing the re-personalized data set and the current facial image data using the at least one facial recognition algorithm or the at least one other facial recognition algorithm, thereby identifying the person.