US 12,249,175 B2
Fingerprint recognition device and smart card
Han Sol Lee, Seongnam-si (KR); Duck-Soo Kim, Seoul (KR); Kwang Hyuk Bae, Seoul (KR); Yeol Min Seong, Seoul (KR); Moon Kyu Song, Seoul (KR); Seong Wook Song, Seoul (KR); and Jun Seo Lee, Seoul (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Jan. 5, 2022, as Appl. No. 17/569,059.
Claims priority of application No. 10-2021-0053577 (KR), filed on Apr. 26, 2021; and application No. 10-2021-0085496 (KR), filed on Jun. 30, 2021.
Prior Publication US 2022/0343672 A1, Oct. 27, 2022
Int. Cl. G06V 40/12 (2022.01); G06V 10/46 (2022.01); G06V 10/82 (2022.01)
CPC G06V 40/1365 (2022.01) [G06V 10/46 (2022.01); G06V 10/82 (2022.01); G06V 40/1353 (2022.01); G06V 40/1388 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A fingerprint recognition device, comprising:
an image acquisition module configured to acquire a fingerprint image including an input fingerprint;
a preprocessing module configured to generate a preprocessed image by preprocessing the fingerprint image;
a minutiae extraction module configured to extract coordinates of minutiae of the input fingerprint using the preprocessed image, and configured to extract coordinates of orientation points of the input fingerprint using the preprocessed image, wherein the orientation points are points on ridges of the input fingerprint where slopes of lines tangent to the ridges change by more than a threshold value; and
a fake detection module configured to receive regions-of-interest (ROIs), including the coordinates of the minutiae of the input fingerprint and the coordinates of the orientation points of the input fingerprint, and determine whether the input fingerprint is a fake by performing learning using the ROIs.