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US Patent 10346675 Access control through multi-factor image authentication

Patent 10346675 was granted and assigned to Massachusetts Mutual Life Insurance Company on July, 2019 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Massachusetts Mutual Life Insurance Company
Massachusetts Mutual Life Insurance Company
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Current Assignee
Massachusetts Mutual Life Insurance Company
Massachusetts Mutual Life Insurance Company
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103466750
Patent Inventor Names
Durga Nagalla0
Date of Patent
July 9, 2019
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Patent Application Number
154942140
Date Filed
April 21, 2017
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Patent Citations Received
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US Patent 11501301 Transaction terminal fraud processing
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US Patent 11341772 Device verification system and device verification method
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US Patent 11347961 Using an illumination sequence pattern for biometric authentication
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US Patent 11420131 Systems and methods for facilitating secret communication between players during game play
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US Patent 12125579 Mirror image apps device comprises plurality of sensors acquire video and audio data to determine first expression, software and system, and methods of operating same
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US Patent 10509951 Access control through multi-factor image authentication
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US Patent 10873661 Voice communication method, voice communication apparatus, and voice communication system
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US Patent 11336882 Synchronizing an illumination sequence of illumination sources with image capture in rolling shutter mode
Patent Primary Examiner
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Kevin Ky
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Patent abstract

A method and system for authenticating users accessing financial accounts from user terminals via multi-factor image authentication. The system includes an authentication server and a user terminal. The method captures a first facial image of a user and compares this image with stored facial recognition credentials. The method prompts the user via a facial gesture cue to make a facial gesture, captures a second facial image of the user, and compares the second image with stored facial gesture credentials. The user is authorized to perform a transaction in the event the first facial image matches a facial recognition credential for an authorized account, and the second facial image matches a facial gesture credential associated with the authorized account. Facial gesture credentials may be based upon static gestures or dynamic gestures, and may be overt or secret. An additional authentication factor may employ a secondary biometric sensor.

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