Client side filtering of card OCR images

A technology in images and images, applied in data processing applications, instruments, calculations, etc., can solve problems such as not allowing user computing devices to filter images

Active Publication Date: 2016-08-17
GOOGLE LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current application does not allow user computing devices to filter images to reduce the need to transmit unwanted images

Method used

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  • Client side filtering of card OCR images
  • Client side filtering of card OCR images
  • Client side filtering of card OCR images

Examples

Experimental program
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Embodiment Construction

[0014] overview

[0015] Embodiments herein provide computer-implemented techniques for allowing a user computing device to filter images prior to uploading them to the system for extracting card information from loyalty cards, payment cards, or other cards using Optical Character Recognition ("OCR") . Before transmitting the image to the OCR system for processing, the user computing device determines whether the scanned image meets a set of requirements. For example, an OCR application can determine whether an image is blurry or sharp, whether the image is bright enough for data extraction, and / or whether there is text in a desired location on the image. If the image meets the requirements for processing, the image is transmitted to an OCR system to undergo OCR processing. For additional images, the process can repeat until the resulting collection exceeds the configured threshold.

[0016] Throughout the specification, the generic term "card" will be used to denote any ty...

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PUM

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Abstract

The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition ("OCR"). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.

Description

[0001] related application [0002] This application claims priority to U.S. Application No. 14 / 133,232, filed December 18, 2013, entitled "Client Side Filtering of Card OCR Images," U.S. Application No. 14 / 133,232 Also claims priority to US Provisional Application No. 61 / 904,801, filed Nov. 15, 2013, entitled "Client Side Filtering of Card OCR Images." The entire contents of the aforementioned applications are hereby incorporated by reference in their entirety. technical field [0003] The techniques disclosed herein pertain to extracting financial card information, and more specifically utilizing user equipment to filter images prior to uploading them for optical character recognition Background technique [0004] When consumers make purchases online or using a mobile device, they are often forced to enter membership or credit card information into the mobile device for rewards or payment. Such input is often cumbersome and error-prone due to the small screen size and k...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06Q20/32G06Q20/34G06V30/10G06V30/224
CPCG06V10/95G06V30/10G06V30/133G06V30/414G06V10/993G06V30/224
Inventor 王晓航亚历山德罗·比萨科格伦·贝恩特松玛利亚·纳齐夫贾斯汀·沙伊纳萨姆·谢赫马克·莱斯利·斯奈德丹尼尔·塔拉韦拉
Owner GOOGLE LLC
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