Ricoh Aficio MP 1350 Manual del usuario - Página 41

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Scan

Scan Data Capture Accuracy

One of the fastest growing needs for high-

speed scanning is the conversion of legacy

hard copy documents into an electronic

format for better information sharing, reduced

storage space, and easier search and data retrieval.

A scan converts a page into an image, which is not very

manageable. Most companies use optical character

recognition (OCR) software to convert the images into

editable text, which can then be searched, changed, or

incorporated into a new document as required.

The OCR engine recognizes individual images on the

page, converting them into letters, numbers, and other

symbols. The OCR engine then runs complex analysis on

the text in conjunction with spell checkers, technical

dictionaries, and other data sources before offering up its

best conversion into electronic format.

This stage can be very time-consuming, especially if the

quality of the scanned data is poor. This leads to character

recognition errors.

To look into this important workflow issue, BERTL ran a

series of standard test patterns with multiple font types,

sizes, and colors capturing the data at various resolutions

using both text and text/photo settings. Text is the default

setting for most OCR work due to its 2-bit format, which

tends to produce the best text reproduction.

However, as more documents incorporate images and

color elements, text/photo, which operates in 8-bit and

reproduces gray shades for better reproduction of images

and colored text elements, is also being used.

After scanning each page of its test originals, BERTL

analysts then ran the scanned files through ABBYY

FineReader 8.0, in default configuration. The impact of the

accuracy of the scanning process at the various resolutions

and settings is reflected in the number of manual

confirmations that the OCR application demands before

the document is deemed clean and ready to use.

The higher the human intervention rate, the higher the cost

of carrying out the action. As expected, the greatest

difficulty in OCR recognition was found on the smallest 4

point text sections of the test documents.

document may only be viewed electronically through the www.BERTL.com Web site and may not be stored in electronic or hard copy format. Any reproduction of trademarks is strictly

prohibited. BERTL accepts no responsibility for any inaccuracies or omissions contained in this document.

Above is a portion of BERTL's OCR test chart scanned at

200 dpi (top), 300 dpi (middle), and 600 dpi (bottom) in text

format and saved as a PDF file. The image has been

zoomed to 400 percent in Adobe Acrobat and screen-

captured for display.

The top line is 4 point, the middle line is 6 point, and the

bottom line 8 point.

The choice of OCR application will also have a dramatic

effect on the level of human intervention that is required

after the initial scanning has taken place. For that reason,

we have standardized on ABBYY, a well-respected leading

OCR software developer.

Our tests are run using the latest level of ABBYY's

FineReader 8.0 software in Default modes. Through fine

tuning of the rich feature set in ABBYY, an additional

portion of the manual intervention could be removed.

However, to maintain benchmark comparison procedures,

default settings were selected.

Ricoh Aficio MP1350

13 November 2006

Page 41