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OCR Project at EPITA S3 with Valentin, Guillaume and Alexandra

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SUDOKU OCR Project during EPITA S3 with Valentin, Guillaume and Alexandra

Welcome on this Sudoku Ocr project. This is a project done as a group of 4 during 3 months. The objective was to create a sudoku solver from A to Z which take as input an image of the not complete sudoku and give back to the user the completed sudoku.

Links

Website that explains our project and who we are: https://nimu93.github.io/

Link of this github where you can understand how we developped it: https://github.com/ErwannLesech/OCR

Method

The OCR is divided in 5 major parts: - Import, rotate and treat the image for next steps - Detection of the grid and separation of cells - Number recognition with deep learning - Solve the sudoku - Redraw the completed sudoku

How to use this sudoku ocr ?

  • make to compile the whole project.
    • ./main -help to get all executable possibilities.
    • ./main -interface to start the UI interface and use the software.

A maximum of commits were done with this syntax:

domain<part of this domain>: description of the commit

domain : Docs - image - ai - solver - ui - app
description using the present infinitive to be short and explanatory

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OCR Project at EPITA S3 with Valentin, Guillaume and Alexandra

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