What are you unhappy with: detection rate or recognition accuracy? All in
all, there's a ton of reasons why Tess can work poorly here. Some kind of
preprocessing is definitely needed. What kind? It depends.

I personally would say that I need to know:
- 5-10 concrete examples of words you are going to look for,
- their bounding boxes within your sample image.

Once I have it, I might be able to help.

Best regards,
Dmitri Silaev
www.CustomOCR.com





On Fri, Oct 13, 2017 at 9:05 AM, Paolo Giannoccaro <[email protected]
> wrote:

> Hi,
> I need to detect a fixed set of words in the attached image, not all are
> part of canonical english dictionary (for example words could be acronyms).
>
> I tried detection on full image or iterating on splitted sub-images, but
> quality of detection is low.
>
> I use Tess4J and the most important part of my code are:
>
> //initialize
> ITesseract instance = new Tesseract();
> instance.setTessVariable(VAR_CHAR_WHITELIST, WHITELIST_DEFAULT);
>
> //detect
> int pageIteratorLevel = TessPageIteratorLevel.RIL_WORD;
> List<Word> result = instance.getWords(image, pageIteratorLevel);
>
> Any help ?
> Thanks a lot
>
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