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https://issues.apache.org/jira/browse/TIKA-2021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15349029#comment-15349029
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ASF GitHub Bot commented on TIKA-2021:
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GitHub user Zarana-Parekh opened a pull request:
https://github.com/apache/tika/pull/126
fix for TIKA-2021 contributed by Zarana Parekh
Improving accuracy of Tesseract for better extraction of numeric and
alphanumeric text from images.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/Zarana-Parekh/tika TIKA-2021
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/tika/pull/126.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #126
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commit 48b27d219f791ee14f1e0ffa18e4e80583f3df54
Author: Zarana Parekh <zaranaparek...@gmail.com>
Date: 2016-06-25T01:53:00Z
fix for TIKA-2021 contributed by Zarana Parekh
----
> Improving accuracy of Tesseract parser
> --------------------------------------
>
> Key: TIKA-2021
> URL: https://issues.apache.org/jira/browse/TIKA-2021
> Project: Tika
> Issue Type: Improvement
> Reporter: Zarana Parekh
>
> Tesseract OCR parser works well with images containing English text. However,
> there is possibility of improvement in case of alphanumeric and numeric
> content which require training Tesseract with the relevant cases in order to
> better extract content from images. Such a customization can be helpful in
> extraction of serial numbers from images of counterfeit electronics and other
> applications focussing on atypical textual content.
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