Method and system for redundant data capture from scanned documents

a data capture and document technology, applied in the field of paper capture, can solve the problems of current systems being subject to mechanical and other errors, unable to detect errors, and unable to effectively utilize available resources, and achieve the effect of accurately identifying marks, reducing errors, and reducing errors

Inactive Publication Date: 2008-09-18
MCGRAW HILL SCHOOL EDUCATION HLDG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0013]Some embodiments embodying aspects of the present invention provide for determining more trustworthy data and for more effectively utilizing available resources to enable more trustworthy data determination. Some embodiments also provide for extracting data from target documents by more accurately identifying marks on such document and more accurately differentiating between intended marks (and/or various types of such marks) and

Problems solved by technology

Such increasing demands have also resulted in assessment processing errors, some of which have gone undetected until after scores have been released to customers.
However, while such systems have benefited from increasingly sophisticated hardware and OMR techniques, they nevertheless depend on proper physical interaction between the scanning hardware and the paper assessment documents.
As a result, current systems are inherently subject to mechanical and other errors.
One vendor, for example, was unable to accurately capture SR item responses on a recent SAT®, the test formerly known as the Scholastic Achievement Test, the Scholastic Aptitude Test and the Sc

Method used

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  • Method and system for redundant data capture from scanned documents
  • Method and system for redundant data capture from scanned documents
  • Method and system for redundant data capture from scanned documents

Examples

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second embodiment

[0066]In a second embodiment, two different extraction processes each utilize the captured digitized image. One or both of the extraction processes may be conducted by computer 120, one or both of the extractions may be conducted by one or more other computers that have access to the captured digitized image 130 or some combination may be used. (It will become apparent that various embodiments may also conditionally or non-conditionally conduct extraction processes such that one, two or more than two extraction processes may be performed, and that the case of two extraction processes merely provides a more typical example of a fully or partially redundant extraction processing case.)

third embodiment

[0067]In a third embodiment, two or more extraction processing instances may occur sequentially. A first extraction process is always performed in this embodiment, either within scanner 110, computer 120 or within another computer that has access to the captured digitized image. After the first extraction is complete, an evaluation process is conducted, either by computer 120 or by another system 100 computer. The evaluation process may be conducted according to the extracted data and / or a confidence indicator indicating confidence in the trustworthiness of a corresponding extraction if such an indicator was created for the first extraction process (e.g., see below). If the evaluation process determines that the extracted data do not meet a predefined criteria for successful (or sufficiently “trustworthy”) data extraction, then a second extraction process is performed.

fourth embodiment

[0068]A fourth embodiment also provides for utilizing two or more extraction processes. In this embodiment, however, one or more of the extraction process instances may provide for extracting data “offline” after scanning a corresponding document or portion thereof. Such an embodiment may be combined with any of the above embodiments and will typically be used as an “additional process” (or “additional multiple extraction process”) which is invoked when an evaluation process determines that one or more additional extraction processes are needed to achieve successful data extraction (e.g., see above). One such offline process is achieved by causing human evaluators (“reviewers”) to review either the captured digitized image or the original document and enter an appropriate determination or code. Such human review is typically conducted in conjunction with a computer 140 and an appropriate display mechanism 145 and data input device or devices, such as one or more of a keyboard, mouse...

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PUM

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Abstract

Embodiments of the invention may be used to capture student markings on assessment documents. Embodiments of the invention may be used for selected response questions or constructed response questions. Embodiments of the invention may be particularly suited to process exceptional marks.

Description

CROSS REFERENCE OF RELATED APPLICATION[0001]This application claims the benefit under 35 U.S.C. § 119 of the filing date of provisional patent application Ser. No. 60 / 918,073 filed Mar. 15, 2007 which is incorporated herein by reference.BACKGROUND OF THE INVENTION[0002]1. Field of Invention[0003]This invention generally relates to capturing data from paper or other documents, and more specifically, to capturing student markings on assessment documents.[0004]2. Description of the Background Art[0005]The assessment industry is a multi-million dollar industry focused largely on assessing students in grades K through 12. With the advent of the No Child Left Behind Act (NCLB) of 2001, the extent and consequences of testing have increased dramatically. The increase in assessments has stressed the limits of the testing industry with more documents to be processed and ever increasing demands for faster document preparation and scoring. Such increasing demands have also resulted in assessmen...

Claims

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Application Information

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IPC IPC(8): G09B5/00G06V30/224
CPCG09B7/02G06V30/224G09B7/06
Inventor POOR, DAVID D. S.FRY, RANDAL
Owner MCGRAW HILL SCHOOL EDUCATION HLDG
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