Sarjinkhan2003/bengali-crnn-easyocr

Bengali CRNN OCR — Custom EasyOCR Recognition Model

DocReader BD — CSC4233 NLP Final Project, AIUB

Results

Model	CER ↓	WER ↓	Char Accuracy
Tesseract (baseline)	~0.45	~0.60	~55%
EasyOCR default	~0.25	~0.40	~75%
BengaliCRNN (ours)	0.0348	0.1020	96.5%

Architecture

ResNet34 (grayscale) + 2× BiLSTM (hidden=256) + CTC loss Vocab: 152 Bengali + English chars | Input: 64×200px

Files

• bengali_crnn.pth — EasyOCR-ready weights (module. prefix)
• phase1_best.pth — clean weights for further training
• bengali_crnn.py — EasyOCR network definition
• bengali_crnn.yaml — EasyOCR config
• vocab.json — character vocabulary
• config.json — model config

Usage

import easyocr
reader = easyocr.Reader(
    lang_list=["bn"],
    recog_network="bengali_crnn",
    model_storage_directory="./bengali_ocr_model",
    user_network_directory="./bengali_ocr_model",
    gpu=True
)
results = reader.readtext("bengali_doc.jpg")