A face recognition method of the present disclosure includes configuring aggregations of feature data that include a plurality of feature data of faces and match to a plurality of personnel data; extracting from an input image a plurality of input feature data that correspond to the feature data and that is equal to or more than a critical value; comparing an aggregation of input feature data that includes the input feature data with each of the pre-stored aggregations of feature data, and selecting from the aggregations of feature data an aggregation of feature data having the greatest similarity with the aggregation of the input feature data; and identifying a person on the image based on personnel data that matches the aggregation of feature data having the greatest similarity.

Face recognition method

A solution for solving side effects as a blind interview gradually expands in a college entrance examination using deep learning may be provided. During a blind interview process, when applicants must be individually identified in an interview waiting room and assigned a temporary number to enter an interview room, an interview assessor conducts interviews based on the blind screening data, which may impair fairness in evaluating the applicants. Therefore, there is problem that the interview assessor may not confirm whether the applicants are the same as the applicants in the reviewed screening data. An objective of the present invention is to provide a solution capable of assisting a blind interview by solving the problem.

Surrogate Interview Prevention Method and Processing Technology Using Deep Learning

A method for providing a contact card is provided. The method includes: acquiring a contact card of a contact person and acquiring contact information stored in a user terminal, the contact card including a first photo, and the contact information including a second photo; determining whether the first photo matches the second photo; and providing the contact card of the contact person to the user terminal, if the first photo matches the second photo.

Method and apparatus for providing contact card

A face recognition method according to an aspect of the present invention includes the following steps: an image obtaining step; an extraction step for extracting a first face image which is a facial area in the obtained image; a calculation step for calculating a feature value of the first image; a similarity calculation step for calculating the similarities between the first feature value and a second feature value of a second face image; a determination step for determining if the first and the second face images both belongs to the same user based on the results of the comparison between the similarities and the preset threshold value.

Face recognition method, machine-readable storage medium and face recognition device

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Face recognition method, machine-readable storage medium and face recognition device