Tesseract OCR - 繁體中文【評估篇】

Tesseract OCR：tesseract-ocr/tesseract: Tesseract Open Source OCR Engine (main repository) (github.com)

Tesseract User Manual：Tesseract User Manual | tessdoc (tesseract-ocr.github.io)

How to train LSTM Tesseract：tessdoc/TrainingTesseract-5.md at main ·tesseract-ocr/tessdoc (github.com)

• 作業系統：win10
• 版本訊息-命令提示字元(CMD)

C:\Users\user>tesseract --version tesseract v5.0.1.20220118 leptonica-1.78.0 libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : libtiff 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0 Found AVX2 Found AVX Found FMA Found SSE4.1 Found libarchive 3.5.0 zlib/1.2.11 liblzma/5.2.3 bz2lib/1.0.6 liblz4/1.7.5 libzstd/1.4.5 Found libcurl/7.77.0-DEV Schannel zlib/1.2.11 zstd/1.4.5 libidn2/2.0.4 nghttp2/1.31.0

一、修改eval.sh

使用notepad++開啟eval.sh修改內容

評估原本的chi_tra.lstm

• 【CTRL+F】將eng取代為chi_tra

lstmeval \

--model train/chi_tra.lstm \

--traineddata tessdata/chi_tra.traineddata \

--eval_listfile train/chi_tra.training_files.txt

評估訓練完的PMingLiU_checkpoint

lstmeval \

--model train/PMingLiU_checkpoint \

--traineddata tessdata/chi_tra.traineddata \

--eval_listfile train/chi_tra.training_files.txt

二、執行eval.sh

在tesstrainsh-win中右鍵(Git Bash Here)開啟Bash，輸入下面指令

sh eval.sh

• Bag of Char error rate(BCER)
• Bag of Word error rate(BWER)

評估原本的chi_tra.lstm

BCER eval=5.102329, BWER eval=28.982749

評估訓練完的PMingLiU_checkpoint

BCER eval=3.109002, BWER eval=20.521559

參考資料