Lekha Ocr version 2.0 Converts your malayalam documents and images to editable malayalam text.It's designed to be easy,fast and simple to use.it has add-on features like scanning,croping,rotating and skew correction of images which help you to do things easy.
In other words, let the machine do most of the malayalam typing work for you.
- Scan
- Import image from disk
- Image layout analysis and feature to correct the result : draw new box by selecting and then press enter to confirm ,delete the incorrect layout analysed box by clicking on respective box.
- Malayalam ocr (lekha_ocrv2)
- Image Skew correction
- Rotate image
- Crop image : crop out unwanted parts of imported/scanned image using crop functionality.
- Set Workspace Directory
- Save Output malayalam text to text file.
- git clone https://gitlab.com/space-kerala/LEKHA_OCR_VER2.0.git (or Download zip and extract)
- Navigate to the cloned or extracted directory
- sudo apt-get update
- sudo bash lekha2-install.sh
- installation done
- Open the application by searching lekha ocr ver 2 in the dash
- Set workspace directory under edit-> preference before any scan operation.
- sudo bash uninstall.sh
It mainly uses:
- Pyinsane2: To scan the pages
- OPENCV: for image manipulation and calculations
- Lekha_ocrv2(OCR)
- GTK+: For the user interface
- PYGOBJECT: python binding for Gtk+
- Matplotlib: Selection and for layout analyzed output correction features
- Pillow
Team under Arun M
- Arun M helped in project management and technical assistance.
- Ambily Sreekumar,contributed in building data set for training.
- Jithin thankachan:contributed in training tool and helped in documentation.
- Arun Joseph:contributed most of the engine initial developments of Lekha ocr 1.0
- Balagopal Unnikrishnan : Contributed in preparing XML label for training and helped in documentation ofLekha ocr 1.0
- Rijoy V : Contributed in initial research of Lekha OCR ver 1.0
This project is a joint initiative of SPACE-KERALA & ICFOSS
GPLv3 only. See License.md
All the information can be found on ICFOSS-Gitlab