Fingerprint enrollment method and apparatus

    公开(公告)号:US10198615B2

    公开(公告)日:2019-02-05

    申请号:US15629324

    申请日:2017-06-21

    Abstract: A processor fingerprint enrollment method and apparatus is disclosed. A processor implemented fingerprint enrollment method includes performing a matching between a received input fingerprint image of a user and one or more enrolled fingerprint images, and selectively, based on a result of the matching identifying a matched enrolled fingerprint image from the one or more enrolled fingerprint image and based on a calculated degree of diversity in the fingerprint corresponding to an overlapping region between the input fingerprint image and the matched enrolled fingerprint image, storing the input fingerprint as another enrolled fingerprint image.

    Method and apparatus with neural network convolution operations

    公开(公告)号:US11853888B2

    公开(公告)日:2023-12-26

    申请号:US18089696

    申请日:2022-12-28

    CPC classification number: G06N3/08 G06F7/74 G06N20/00

    Abstract: A processor-implemented method of performing convolution operations in a neural network includes generating a plurality of first sub-bit groups and a plurality of second sub-bit groups, respectively from at least one pixel value of an input feature map and at least one predetermined weight, performing a convolution operation on a first pair that includes a first sub-bit group including a most significant bit (MSB) of the at least one pixel value and a second sub-bit group including an MSB of the at least one predetermined weight, based on the plurality of second sub-bit groups, obtaining a maximum value of a sum of results for convolution operations of remaining pairs excepting the first pair, and based on a result of the convolution operation on the first pair and the maximum value, determining whether to perform the convolution operations of the remaining pairs.

    Method and apparatus with neural network convolution operations

    公开(公告)号:US11568243B2

    公开(公告)日:2023-01-31

    申请号:US16704290

    申请日:2019-12-05

    Abstract: A processor-implemented method of performing convolution operations in a neural network includes generating a plurality of first sub-bit groups and a plurality of second sub-bit groups, respectively from at least one pixel value of an input feature map and at least one predetermined weight, performing a convolution operation on a first pair that includes a first sub-bit group including a most significant bit (MSB) of the at least one pixel value and a second sub-bit group including an MSB of the at least one predetermined weight, based on the plurality of second sub-bit groups, obtaining a maximum value of a sum of results for convolution operations of remaining pairs excepting the first pair, and based on a result of the convolution operation on the first pair and the maximum value, determining whether to perform the convolution operations of the remaining pairs.

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