China UnionPay has been granted a patent for a method to deploy a face sample library, improving business processing accuracy using face recognition. The method involves obtaining historical business information, dividing the library into sub-libraries, and performing face recognition processing based on these sub-libraries. GlobalData’s report on China UnionPay gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on China UnionPay, Social commerce was a key innovation area identified from patents. China UnionPay's grant share as of February 2024 was 40%. Grant share is based on the ratio of number of grants to total number of patents.
Face recognition method for business processing
A recently granted patent (Publication Number: US11893829B2) outlines a method for deploying a face sample library in business processing scenarios. The method involves obtaining historical business information of users corresponding to face samples in a password face sample library, dividing the library into multiple levels of face sample sub-libraries based on the historical information, and performing face recognition processing. The classification data labels are set to mark the attributes of the historical business information, allowing for efficient retrieval and matching of face samples.
Furthermore, the patent describes a method for business processing based on face recognition, where business request information of a user is obtained, and face samples are queried based on detected face images. The method involves invoking specific face sample sub-libraries within the password face sample library, based on historical business information attributes. The process includes feedback mechanisms for dual identity verification and updating the face sample library based on successful matches. The patent also covers a business device comprising a processor, memory, and a computer program to execute the described operations, emphasizing the practical application of the method in real-world business scenarios.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
