US 11,734,948 B2
Device and method for contactless fingerprint acquisition
Linpeng Tang, Beijing (CN); Cheng Tai, Beijing (CN); Feng Kang, Beijing (CN); Wei Hu, Beijing (CN); and Bo Liu, Beijing (CN)
Assigned to MOQI TECHNOLOGY (BEIJING) CO., LTD., Beijing (CN)
Appl. No. 17/425,268
Filed by MOQI TECHNOLOGY (BEIJING) CO., LTD., Beijing (CN)
PCT Filed Mar. 11, 2019, PCT No. PCT/CN2019/077689
§ 371(c)(1), (2) Date Jul. 22, 2021,
PCT Pub. No. WO2020/181465, PCT Pub. Date Sep. 17, 2020.
Prior Publication US 2022/0327858 A1, Oct. 13, 2022
Int. Cl. G06V 40/12 (2022.01); G06V 10/141 (2022.01); G06V 10/82 (2022.01); G06V 40/13 (2022.01); H04N 23/51 (2023.01); H04N 23/56 (2023.01); H04N 23/73 (2023.01)
CPC G06V 40/1335 (2022.01) [G06V 10/141 (2022.01); G06V 10/82 (2022.01); G06V 40/1312 (2022.01); G06V 40/1376 (2022.01); H04N 23/51 (2023.01); H04N 23/56 (2023.01); H04N 23/73 (2023.01); G06V 2201/121 (2022.01)] 14 Claims
OG exemplary drawing
 
1. A contactless fingerprint acquisition device, comprising:
a housing including a finger scanning area for at least one finger;
at least two image capturing devices located in the housing and arranged in a predetermined baseline distance, each image capturing device having an optical axis in a predetermined angle with a vertical direction; and
a lighting unit in the housing for illuminating the at least one finger,
wherein the at least two image capturing devices are operable to acquire a plurality of partial fingerprint images of the at least one finger, and the plurality of partial fingerprint images correspond to different portions of the at least one finger, and wherein the contactless fingerprint acquisition device further comprises:
a structured light component; and
a processor configured for:
deriving, by means of the structured light component, depth information from the plurality of partial fingerprint images of the at least one finger;
building at least two first 3D fingerprint models from the plurality of partial fingerprint images and the depth information:
generating a second 3D fingerprint model by combination of the at least two first 3D fingerprint models;
stitching the plurality of partial fingerprint images onto a surface of the second 3D fingerprint model to obtain a 3D fingerprint image;
unrolling the 3D fingerprint image to obtain a 2D fingerprint image; and
enhancing the 2D fingerprint image to generate a grayscale enhanced 2D fingerprint image.