Socure has patented a system using machine learning to improve barcode readability, especially for low-quality barcodes. The method involves training a model with synthetic personal information, applying it to enhance unreadable barcodes in production, and extracting the information. GlobalData’s report on Socure 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 Socure, Content access control was a key innovation area identified from patents. Socure's grant share as of January 2024 was 52%. Grant share is based on the ratio of number of grants to total number of patents.
Enhancing readability of barcodes using machine learning techniques
A recently granted patent (Publication Number: US11875259B1) outlines a method for enhancing barcodes within image documents. The process involves reading the original image document, isolating the barcode, determining readability, and applying a trained generative model to enhance the barcode if necessary. The enhanced barcode is then used to extract information contained within it. The method also includes steps for identity verification and fraud assessment based on the extracted information.
Furthermore, the patent describes a method for training a generative model to enhance barcodes by receiving synthetic identification data, encoding it into a readable barcode, degrading it into a low-quality barcode, and configuring the model to transform the low-quality barcode into an enhanced, readable version. The system includes processors, memory storing instructions, and computer program modules for barcode isolation, model training, and enhancing barcodes. It also incorporates functionalities for identity verification and fraud detection based on the data extracted from the enhanced barcodes, showcasing potential applications in security and verification processes.
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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.
