Greek Sentence-Level HTR - CRNN + CTC (Improved)

Performance

Metric Before After
CER 7.81% 7.60%
WER 36.42% 35.81%

Improvements Applied

  • Post-processing to fix space errors around punctuation
  • Fine-tuned at LR=1e-5 for additional epochs

Architecture

  • CNN: 5-block with BatchNorm (64->128->256->256->512)
  • RNN: 2x BiLSTM hidden=512 with Dropout(0.3)
  • Decoder: CTC (BestPath / BeamSearch)
  • Input: 1024x64, Max sequence: 128 chars

Usage

python main.py --infer --image your_image.png
python main.py --infer --image your_image.png --beamsearch
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Dataset used to train rajesh-1902/greek-htr-crnn-ctc