Browse Prior Art Database

OCR Result Verification Method

IP.com Disclosure Number: IPCOM000014839D
Original Publication Date: 2001-Apr-21
Included in the Prior Art Database: 2003-Jun-20
Document File: 2 page(s) / 78K

Publishing Venue

IBM

Abstract

Disclosed is a method for carpet error correction, which is one of error correction methods for Optical Character Recognition (OCR), to be more effective. The fig.1 shows an example of carpet correction's panel. Carpet correction gathers all the same result characters together with their each partial image from a huge number of OCR results, and it lines up them as tiles or floor carpets, and then shows them to operators. Operators can check about one kind character at the certain period, so they can work effectively well. But on the other hand it has a weak point that its panel is so monotonous that operators feel hard to put their mind to the operation. With the progress of OCR technology, the frequency of error appearance in correction panels goes down and it makes operator work more monotonous. Operators can't maintain their concentration without active work. ··· ·························fig.1 This disclosure's essential idea is to insert several error result patterns intentionally to the panels so as to make appropriate volume of active work. Fig.2 shows an example of this disclosure implementation. The position and the frequency of the insertion are controlled not to be predictable and arranged to be appropriate. The inserted errors let operators work to key in the correct characters. This means that operators are forced to do active work. It may also say that this method brings operators appropriate tension. In addition, the system can check and record if operators corrected the inserted error properly or not. This can be utilized for many uses. It can use for operator's On the Job Training (OJT) for instance.

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OCR Result Verification Method

   Disclosed is a method for carpet error correction, which is one of error
correction methods for Optical Character Recognition (OCR), to be more effective.

The fig.1 shows an example of carpet correction's panel. Carpet correction
gathers all the same result characters together with their each partial image
from a huge number of OCR results, and it lines up them as tiles or floor
carpets, and then shows them to operators. Operators can check about one kind
character at the certain period, so they can work effectively well. But on the
other hand it has a weak point that its panel is so monotonous that operators
feel hard to put their mind to the operation. With the progress of OCR
technology, the frequency of error appearance in correction panels goes down
and it makes operator work more monotonous. Operators can't maintain their
concentration without active work.

··· ·························fig.1

This disclosure's essential idea is to insert several error result patterns
intentionally to the panels so as to make appropriate volume of active work.
Fig.2 shows an example of this disclosure implementation. The position and the
frequency of the insertion are controlled not to be predictable and arranged
to be appropriate. The inserted errors let operators work to key in the
correct characters. This means that operators are forced to do active work. It
may also say that this method brings operators appropriate tension. In
addi...