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tesseract v5.4.0.20240606
leptonica-1.84.1
libgif 5.2.1 : libjpeg 8d (libjpeg-turbo 3.0.1) : libpng 1.6.43 : libtiff 4.6.0 : zlib 1.3 : libwebp 1.4.0 : libopenjp2 2.5.2
Found AVX2
Found AVX
Found FMA
Found SSE4.1
Found libarchive 3.7.4 zlib/1.3.1 liblzma/5.6.1 bz2lib/1.0.8 liblz4/1.9.4 libzstd/1.5.6
Operating System
Windows 10
Other Operating System
No response
uname -a
No response
Compiler
No response
CPU
No response
Virtualization / Containers
No response
Other Information
Some words are not recognized correctly, for example, the word FG073 is recognized as FGO073.
I run tesseract with attached image and english trained data tessdata_best\eng.traineddata downloaded from https://github.com/tesseract-ocr/tessdata_best.
The trained data tessdata_fast\eng.traineddata it works fine.
Current Behavior
FGO073
FGO037
FGO037
FG101
FG114
FGO037
FG184
FG095
FG184
resultado.txt
Expected Behavior
FG073
FG037
FG037
FG101
FG114
FG037
FG184
FG095
FG184
Suggested Fix
No response
tesseract -v
tesseract v5.4.0.20240606
leptonica-1.84.1
libgif 5.2.1 : libjpeg 8d (libjpeg-turbo 3.0.1) : libpng 1.6.43 : libtiff 4.6.0 : zlib 1.3 : libwebp 1.4.0 : libopenjp2 2.5.2
Found AVX2
Found AVX
Found FMA
Found SSE4.1
Found libarchive 3.7.4 zlib/1.3.1 liblzma/5.6.1 bz2lib/1.0.8 liblz4/1.9.4 libzstd/1.5.6
Operating System
Windows 10
Other Operating System
No response
uname -a
No response
Compiler
No response
CPU
No response
Virtualization / Containers
No response
Other Information
Some words are not recognized correctly, for example, the word FG073 is recognized as FGO073.
I run tesseract with attached image and english trained data tessdata_best\eng.traineddata downloaded from https://github.com/tesseract-ocr/tessdata_best.
The trained data tessdata_fast\eng.traineddata it works fine.
tesseract v5.4.0.20240606 compiled by UB Mannheim
https://github.com/UB-Mannheim/tesseract/wiki
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