Jumio’s patent involves a method using image capture to determine if a subject is a live person based on corneal reflections. Once confirmed, an authentication process is initiated. This innovative technology aims to enhance security measures for user authentication. GlobalData’s report on Jumio 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 Jumio, Biometric transaction authentication was a key innovation area identified from patents. Jumio's grant share as of May 2024 was 36%. Grant share is based on the ratio of number of grants to total number of patents.
Live person authentication using corneal reflections from eye images
A recently granted patent (Publication Number: US12014577B2) discloses a computer-implemented method for authenticating live persons using corneal reflections captured by an image capture device. The method involves obtaining a set of at least two images of a subject from different relative locations, determining parameters representing corneal reflections, and initiating an authentication process upon confirming the subject is a live person. The parameters include reflection size and separation between corneal reflections in the subject's eyes, with variations indicating the subject is alive.
Furthermore, the patent extends to a non-transitory, computer-readable medium storing instructions for capturing images, determining parameters, and authenticating live persons based on corneal reflections. The method involves analyzing reflection sizes and separations in images captured at different distances from the subject's eyes. Additionally, a computer-implemented system is described, comprising computers and memory devices storing instructions for capturing images, determining parameters, and initiating an authentication process for live persons. The system utilizes machine learning processes to differentiate between live persons and alternative representations based on corneal reflection parameters.
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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.
