US 11,861,935 B2
Fingerprint detection method and fingerprint module
Heng Zhai, Shanghai (CN); and Jun Yang, Shanghai (CN)
Assigned to Silead Inc., Shanghai (CN)
Filed by Silead Inc., Shanghai (CN)
Filed on Nov. 22, 2022, as Appl. No. 17/992,590.
Claims priority of application No. 202210319195.0 (CN), filed on Mar. 29, 2022.
Prior Publication US 2023/0316802 A1, Oct. 5, 2023
Int. Cl. G06V 40/13 (2022.01); G06V 40/12 (2022.01); G06V 10/26 (2022.01)
CPC G06V 40/1365 (2022.01) [G06V 10/26 (2022.01); G06V 40/1306 (2022.01)] 17 Claims
OG exemplary drawing
 
1. A fingerprint detection method for applying to a fingerprint module, comprising:
dividing a detection area of the fingerprint module into a plurality of detection blocks, wherein each of the detection blocks comprises a plurality of detection units, and each of the detection units is corresponding to a grayscale value;
scanning at least part of the detection blocks to obtain the grayscale values;
determining whether each of the detection blocks is in a covered state based on the grayscale values, comprising:
accumulating the grayscale value of each of the detection units in the detection block to obtain a block grayscale value; and
determining that the detection block is in the covered state, in response to the block grayscale value is not greater than a gray detection threshold; and
counting a number of the detection blocks in the covered state, and sending a collection request to a host to inform the host to obtain a fingerprint image if the number is not less than a coverage block threshold.