📝 Japanese Handwritten Character Recognizer (Hiragana & Katakana)

📌 Overview

This is a simple OCR-based tool for recognizing Japanese handwritten or printed characters (Hiragana, Katakana) using images uploaded by the user. It's built for Google Colab and supports multiple image uploads.

try out here:

https://huggingface.co/spaces/nikisded/japanese-using-opencv

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sequence diagram

⚙️ Tech Stack

Component	Description
Google Colab	Cloud-based Python notebook
Python	Programming language
EasyOCR	OCR library that supports Japanese characters
OpenCV	Image reading and color conversion
Matplotlib	Displaying images within Colab
Google Colab Files	Uploading images interactively

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🧠 How It Works

1. The user uploads one or more images of handwritten/printed Japanese characters.
2. Images are read using OpenCV and displayed inline.
3. EasyOCR processes each image to extract readable Japanese text.
4. The recognized characters (with confidence scores) are printed for each image.

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✅ Features

• Upload and process multiple images in one go.
• Supports Hiragana, Katakana, Kanji (printed and some handwritten).
• Clean, readable output — no noisy logs.
• Inline image display with results.

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🔧 Potential Improvements

Area	Description
Handwriting Support	EasyOCR works best with clean, large handwriting.
Custom Models	For better accuracy, use ETL8G or Kuzushiji-trained CNNs.
Drawing Input	Add a canvas or sketch pad to draw directly in Colab.
App UI	Convert to a web app using Gradio or Streamlit.
GPU Support	Enable GPU in Colab for faster inference.

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📂 Example Output

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📎 Notes

• For best results, use clear, high-resolution images.
• EasyOCR may not handle cursive or stylized writing well — in such cases, a custom-trained classifier is recommended.