Fiserv has been granted a patent for a computer-implemented method using artificial intelligence to detect merchant logos, improving user control in ISO back-end transactions. The method involves identifying logo candidates, filtering out low-quality images, selecting a logo, and generating a display with the logo associated with transaction data. GlobalData’s report on Fiserv 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 Fiserv, Virtual banking assistant was a key innovation area identified from patents. Fiserv's grant share as of February 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.
Merchant logo detection with ai for iso data packets
A recently granted patent (Publication Number: US11899711B2) discloses a computer-implemented method for merchant logo detection using artificial intelligence (AI) in a user control server. The method aims to enhance user control over ISO back-end transaction approvals between acquirer processors and issuer processors via a data communication network. The process involves receiving ISO data packets with merchant names, transforming raw data to enriched data, identifying logo candidates from external resources, filtering out low-quality images, processing candidates with high-quality filtering using deep learning classifiers, selecting a logo, and displaying it with the transaction data.
The method includes evaluating logo candidates for aspect ratio, resolution, and entropy during low-quality filtering, while high-quality filtering involves classifying candidates using Convolutional Neural Network (CNN), scanning for embedded text, comparing against enriched data, and determining image similarity to known logos. The patent also covers scenarios where ISO data packets lack a merchant logo, and non-logo images like icons, avatars, and memes are encountered. Additionally, the use of CNN learning for deep learning, establishing secure channel connections with mobile account holder devices, and a non-transitory computer-readable medium containing source code for executing the method are also detailed in the patent. This innovative approach to merchant logo detection using AI showcases advancements in improving user control and transaction security in the digital payment ecosystem.
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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.
