Invention Publication
- Patent Title: ADAPTIVE PERSONALIZATION FOR ANTI-SPOOFING PROTECTION IN BIOMETRIC AUTHENTICATION SYSTEMS
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Application No.: US18155408Application Date: 2023-01-17
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Publication No.: US20230259600A1Publication Date: 2023-08-17
- Inventor: Davide BELLI , Bence MAJOR , Amir JALALIRAD , Daniel Hendricus Franciscus DIJKMAN , Fatih Murat PORIKLI
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Main IPC: G06F21/32
- IPC: G06F21/32

Abstract:
Certain aspects of the present disclosure provide techniques and apparatus for biometric authentication using an anti-spoofing protection model refined using online data. The method generally includes receiving a biometric data input for a user. Features for the received biometric data input are extracted through a first machine learning model. It is determined, using the extracted features for the received biometric data input and a second machine learning model, whether the received biometric data input for the user is authentic or inauthentic. It is determined whether to add the extracted features for the received biometric data input, labeled with an indication of whether the received biometric data input is authentic or inauthentic, to a finetuning data set. The second machine learning model is adjusted based on the finetuning data set.
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