Abstract: A method for displaying a virtual space at various point-in-times is provided, which is performed by one or more processors and includes displaying a user's avatar on a current first virtual space, in response to receiving a first user input selecting a first graphical object associated with a movement between point-in-times, displaying a user interface including a plurality of point-in-time information associated with the first virtual space, receiving, from a user, a selection of a first point-in-time from among the plurality of point-in-time information, and playing back a first event associated with the first virtual space recorded at the first point-in-time.

Abstract: The present disclosure relates to a method for reserving future purchases of goods, which includes receiving a purchase reservation request including user information, information on a product to be purchased, and a desired purchase condition from a user terminal, receiving a plurality of payment information on product to be purchased, monitoring whether at least one of the received plurality of payment information satisfies the desired purchase condition, and processing the purchase transaction of the product to be purchased using payment method information received from the user terminal, based on a result of the monitoring.

Abstract: Event managing methods, computer-readable recording mediums having recorded thereon a computer program for executing the method, and/or computing devices are disclosed. The event managing method may include generating an event-associated message for participation in an event based on an input of a host user, transmitting the event-associated message to a guest user device of a guest user belonging to a first chat room through the first chat room, to which the host user belongs, transmitting a remittance request message to the guest user device based on an input of the guest user responding to the event-associated message, and determining whether remittance requested by the remittance request message has been processed by the guest user device.

Abstract: A fingerprint information processing method and apparatus in which the method includes: obtaining a fingerprint image; calculating an average value of shading values of pixels in a specific region based on a pixel with respect to each pixel of the fingerprint image, performing a first processing of calculating a sum of average values of shading values of pixels included in an expanded region while gradually expanding the specific region, and generating a first processing image for the fingerprint image using a first processing-performed value for each pixel; and forming a window including a predetermined region in the first processing image, and selecting feature points among pixels in a window region while moving the window.

Abstract: According to one embodiment of the present invention, provided is a method for fingerprint recognition and authentication, comprising: a step for sequentially acquiring a plurality of slice images including a fingerprint pattern via a fingerprint sensor; a slice dividing unit for dividing the slice images into block images; a step for converting spatial domain information of the block images into frequency domain information, and eliminating information of a high-frequency component by using a low-pass filter; and a step for forming a fingerprint pattern template by matching the block images, from which the information of the high-frequency component has been eliminated.

Abstract: According to one embodiment, provided is a method by which an electronic device comprising a minimum fingerprint sensing area processes fingerprint information, comprising the steps of: acquiring a fingerprint image from the fingerprint sensing area; calculating a shade change value, defined by a shade difference value from a neighboring pixel, for each pixel of the fingerprint image; selecting points, as feature point candidates, of which the shade change value is a threshold value or more; applying artificial distortion for noise filtering to an area including the feature point candidates and neighboring pixels thereof; and selecting, as final feature points, candidates of which the shade change value after the artificial distortion is within a threshold range from among the feature point candidates.

Abstract: A fingerprint information processing method and apparatus in which the method includes: obtaining a fingerprint image; calculating an average value of shading values of pixels in a specific region based on a pixel with respect to each pixel of the fingerprint image, performing a first processing of calculating a sum of average values of shading values of pixels included in an expanded region while gradually expanding the specific region, and generating a first processing image for the fingerprint image using a first processing-performed value for each pixel; and forming a window including a predetermined region in the first processing image, and selecting feature points among pixels in a window region while moving the window.

Abstract: According to one embodiment of the present invention, provided is a method for fingerprint recognition and authentication, comprising: a step for sequentially acquiring a plurality of slice images including a fingerprint pattern via a fingerprint sensor; a slice dividing unit for dividing the slice images into block images; a step for converting spatial domain information of the block images into frequency domain information, and eliminating information of a high-frequency component by using a low-pass filter; and a step for forming a fingerprint pattern template by matching the block images, from which the information of the high-frequency component has been eliminated.

Abstract: According to one embodiment, provided is a method by which an electronic device comprising a minimum fingerprint sensing area processes fingerprint information, comprising the steps of: acquiring a fingerprint image from the fingerprint sensing area; calculating a shade change value, defined by a shade difference value from a neighboring pixel, for each pixel of the fingerprint image; selecting points, as feature point candidates, of which the shade change value is a threshold value or more; applying artificial distortion for noise filtering to an area including the feature point candidates and neighboring pixels thereof; and selecting, as final feature points, candidates of which the shade change value after the artificial distortion is within a threshold range from among the feature point candidates.