Mocrin coordinates multiple ocr-engine to create a uniform workflow and folder structure. It is part of the Aktienführer-Datenarchiv work process, but can also be used independently.

Mocrin is a command line driven processing tool for multiple ocr-engine.
The main purpose is to handle multiple ocr-engine with one interface for a cleaner and uniform workflow. Another purpose is to serve as part of an self-configuration process to extract the best settings for different ocr-engines. Just now you can store multiple configuration files for the ocr-engines. It can also be used to cut out areas from image with user-set characteristics, which can be further used as training datasets for NN-models.

Ocromore further parse the different ocr-outputfiles to a sqlite-database. The purpose of this database is to serve as an exchange and store platform using pandas as handler. Combining pandas and the dataframe-objectifier offers a wide-range of performant use-cases like msa. To evaluate the results you can either use the common standard isri tool to generate a accuracy report or do visual comparision with diff-tools (default "meld").

Note that the automatic processing will sometimes need some manual adjustments.

✓ Talk to tesseract
✓ Talk to ocropus
✓ Talk to abbyy
✓ Configuration files (for the whole process and every single ocr-engine)
✓ Implement cut method
✓ Create uniform output structure
✓ Create hocr-output
✓ Create logs with settings information

✓ hocr (with confidences)
✓ abbyy-xml (with confidences "ASCII")

• linux distribution:
  • Ubuntu
  • etc.
• Python 3.6

Build:

docker build -t mocrin .

Run:

docker run -it -v 'PWD':/home/developer/coding/mocrin mocrin 

Then run cli commands (see example)

To run the scripts for visual results in your OS:
(not available in the docker-image)

• install Python and Requirements

The project was written in PyCharm 2017.3 (CE)>,
so if you are a developer it's recommended to use it.

Python 3.6.3 (default, Oct 6 2017, 08:44:35)
GCC 5.4.0 20160609 on linux
Tested on: Ubuntu17.10

Dependencies can be installed into a Python Virtual Environment:

    $ virtualenv mocrin_venv/
    $ source mocrin_venv/bin/activate
    $ pip install -r requirements.txt

First of all you have to adjust the config-files. There are two main config-files in "./profiles/":

• cli_args
  • path to ocr ocr-files (e.g. hocr)
  • parameter for parsing hocr to db
    • naming etc.
• ocropy
  • path to db
  • parameter for combining the information from the ocr-files
• tess
  • path to db
  • parameter for combining the information from the ocr-files

The parameter to perform the examples are set as default.
So you can just run the following commands.

At the current stage it is recommended to use PyCharm to perform the next steps.

Parse OCR with multiple Engines and store the result in a unified folder structure:

# All parameters can set in the configs
# Config files are stored in the profiles folder.

$ python3 ./mocrin.py

The result are stored in ./Testfiles/tableparser_output/

Copyright (c) 2017 Universitätsbibliothek Mannheim

Author: Jan Kamlah

mocrin is Free Software. You may use it under the terms of the Apache 2.0 License. See LICENSE for details.

The tools are depending on some third party libraries:

• tesserocr - Wrapper for Tesseract-API (MIT-License)