METHODS AND SYSTEMS FOR DETERMINING THE AUTHENTICITY OF AN IDENTITY DOCUMENT

    公开(公告)号:US20240144713A1

    公开(公告)日:2024-05-02

    申请号:US17977032

    申请日:2022-10-31

    申请人: Daon Technology

    发明人: Zorana Markovic

    摘要: A method for determining authenticity of a document is provided that includes the step of capturing, by an electronic device, an image of a document. The document includes image data of a biometric modality of a user and informational data. Moreover, the method includes the steps of cropping the captured image data to include an image of the document only, removing the informational data from the cropped image, and generating a gray scale image from the cropped image. The gray scale image and the cropped image are a pair of images. Furthermore, the method includes the step of simultaneously processing, by a trained machine learning model (MLM) each image in the pair of images, to determine whether the identity document in the captured image is authentic.

    Enhanced access control
    6.
    发明授权

    公开(公告)号:US11941933B2

    公开(公告)日:2024-03-26

    申请号:US17307010

    申请日:2021-05-04

    申请人: Daon Technology

    摘要: A method for enhanced access control is provided that includes the steps of displaying buttons, by an electronic device, where each button corresponds to a different service. Moreover, the method includes receiving, by the electronic device, input regarding a selected service, transmitting at least one credential for the selected service to a computer, and capturing, by a camera in communication with the computer, facial image data of a user. The method also includes determining whether the facial image data was taken of a live person. In response to determining the facial image data was taken of a live person, a verification transaction is conducted based on the at least one credential and facial image data. In response to verifying the identity of the user as true, the user is granted access to the selected service.

    Methods and systems for enhancing user liveness detection

    公开(公告)号:US11810401B1

    公开(公告)日:2023-11-07

    申请号:US18301369

    申请日:2023-04-17

    申请人: Daon Technology

    摘要: A method for enhancing user liveness detection is provided that includes receiving image data of a user that includes items of metadata. Moreover, the method includes comparing each item of metadata associated with the received image data against a corresponding item of metadata associated with record image data of the user, and determining whether each item of metadata associated with the received image data matches the corresponding item of metadata. In response to determining at least one item of metadata associated with the received image data does not match the corresponding item of metadata, the method deems the received image data to be genuine and from a live person. In response to determining all items of metadata associated with the received image match the corresponding item of metadata, the method deems the received image data to be fraudulent and not from a living person.

    Methods and systems for enhancing the detection of synthetic voice data

    公开(公告)号:US12131750B1

    公开(公告)日:2024-10-29

    申请号:US18660784

    申请日:2024-05-10

    申请人: Daon Technology

    摘要: A method for enhancing detection of synthetic voice data is provided that includes converting, by an electronic device, monophonic voice data into stereophonic voice data. The stereophonic voice data includes a first channel signal and a second channel signal. Moreover, the method includes decomposing, by a trained machine learning model, the stereophonic voice data into a mid-signal and a side signal. The method also includes determining artifacts indicative of synthetic generation in the structured and secondary artifacts, calculating, based on the determined artifacts, a probability score reflecting the likelihood the monophonic voice data was synthetically generated, and comparing the probability score against a threshold value. When the probability score satisfies the threshold value, there is a high likelihood that the monophonic voice data includes synthetic artifacts, and an alert is generated indicating the monophonic voice data is potentially fraudulent.