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System for character recognition in a digital image processing environment

專利號
US11176362B1
公開日期
2021-11-16
申請人
Bank of America Corporation(US NC Charlotte)
發(fā)明人
Madhusudhanan Krishnamoorthy; Nityashree Pannerselvam
IPC分類
G06K9/00; G06T5/10; G06T5/00; G06K9/26
技術(shù)領(lǐng)域
or,resolution,more,in,query,system,image,images,may,ibe
地域: NC NC Charlotte

摘要

Systems, computer program products, and methods are described herein for character recognition in a digital image processing environment. The present invention is configured to electronically retrieve one or more documents from a document repository, wherein the one or more documents are in an image format; initiate one or more image super resolution algorithms on the one or more documents; generate, based on at least the one or more image super resolution algorithms, one or more high-resolution images associated with each of the one or more documents; initiate one or more image bottleneck ensembles (IBE) algorithms on the one or more high-resolution images; extract, using the one or more IBE algorithms, one or more features associated with the one or more high resolution images; and store the one or more features extracted from the one or more high resolution images in a feature repository.

說明書

In some embodiments, the system may be configured to implement one or more CNN architectures that are capable of retaining the sequential representation of the one or more high resolution images associated with the one or more documents in addition to extracting the one or more features from the one or more high resolution images associated with the one or more documents. For example, as the high resolution images are processed, the one or more IBE algorithms may be configured to traverse the one or more high resolution images associated with the one or more documents to extract features from various portions of the high resolution images associated with the one or more documents. For example, a high resolution image of the document may be a letterhead which has portions such as a heading, signature block, subject line, greeting, body, and/or the like. By implementing IBE algorithms such as WaveNet, the system may be configured to retain the sequence in which the features are extracted from the one or more high resolution images associated with the one or more documents.

Next, as shown in block 212, the process flow includes storing the one or more features extracted from the one or more high resolution images in a feature repository.

權(quán)利要求

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