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https://issues.apache.org/jira/browse/TIKA-2021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15365830#comment-15365830
 ] 

Hudson commented on TIKA-2021:
------------------------------

SUCCESS: Integrated in Tika-trunk #1079 (See 
[https://builds.apache.org/job/Tika-trunk/1079/])
fix for TIKA-2021 contributed by Zarana Parekh (zaranaparekh17: rev 
48b27d219f791ee14f1e0ffa18e4e80583f3df54)
* tika-parsers/src/main/java/org/apache/tika/parser/ocr/TesseractOCRParser.java
* tika-bundle/pom.xml
* tika-parsers/pom.xml
* tika-parsers/src/main/resources/org/apache/tika/parser/ocr/rotation.py
* tika-parsers/src/main/java/org/apache/tika/parser/ocr/TesseractOCRConfig.java
* 
tika-parsers/src/main/resources/org/apache/tika/parser/ocr/TesseractOCRConfig.properties
fix for TIKA-2021 contributed by Zarana Parekh (zaranaparekh17: rev 
de84d71b145045792b8a3bd175634251623188dc)
* tika-parsers/src/main/java/org/apache/tika/parser/ocr/TesseractOCRParser.java
* tika-bundle/pom.xml
Record TIKA-2021 change. (mattmann: rev 
636060eb6c4a2ea4960ccc045f8bc5ae159c9117)
* CHANGES.txt


> 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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