[jira] [Comment Edited] (TIKA-2021) Improving accuracy of Tesseract parser for Serial Number and Part Number (Numeric) Extraction

["Tim Allison (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/TIKA-2021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15368198#comment-15368198 ] 

Tim Allison edited comment on TIKA-2021 at 7/8/16 7:33 PM:
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Any chance you could make the check for python static and remove the e.printStackTrace()s?  Thank you!

Wait...it would also be good to apply this to 2.x


was (Author: tallison@mitre.org):
Any chance you could make the check for python static and removing the e.printStackTrace()s?  Thank you!

> Improving accuracy of Tesseract parser for Serial Number and Part Number (Numeric) Extraction
> ---------------------------------------------------------------------------------------------
>
>                 Key: TIKA-2021
>                 URL: https://issues.apache.org/jira/browse/TIKA-2021
>             Project: Tika
>          Issue Type: Improvement
>          Components: ocr, parser
>            Reporter: Zarana Parekh
>            Assignee: Chris A. Mattmann
>              Labels: memex
>             Fix For: 1.14
>
>
> 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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