Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# ShobdoOCR — Bangla-English OCR for Bangladeshi Documents
|
| 2 |
|
| 3 |
ShobdoOCR is a word-level OCR system designed for Bangladeshi government documents including NID cards, birth certificates, land deeds, and invoices. It handles mixed Bengali and English text using a classifier-first dual-recognizer architecture — a lightweight 23K-parameter script classifier (99.82% accuracy) routes each detected word to either a Bengali CRNN or English CRNN recognizer, returning per-word bounding boxes, recognized text, and script labels.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- bn
|
| 4 |
+
- en
|
| 5 |
+
license: mit
|
| 6 |
+
tags:
|
| 7 |
+
- ocr
|
| 8 |
+
- bengali
|
| 9 |
+
- object-detection
|
| 10 |
+
- text-recognition
|
| 11 |
+
- yolov8
|
| 12 |
+
pipeline_tag: object-detection
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
# ShobdoOCR — Bangla-English OCR for Bangladeshi Documents
|
| 16 |
|
| 17 |
ShobdoOCR is a word-level OCR system designed for Bangladeshi government documents including NID cards, birth certificates, land deeds, and invoices. It handles mixed Bengali and English text using a classifier-first dual-recognizer architecture — a lightweight 23K-parameter script classifier (99.82% accuracy) routes each detected word to either a Bengali CRNN or English CRNN recognizer, returning per-word bounding boxes, recognized text, and script labels.
|