This blog showcases the progress of my idea to create an augmented reality Sudoku solver using technology that enables us to solve puzzles in our browser rather than with dedicated apps. I have developed an AR Sudoku solver with a simple image processing pipeline. It identifies and extracts Sudoku puzzles from pictures, recognizes each cell's numbers, solves the puzzle, and renders the solution on top of the original image. This process is accomplished by converting the image to greyscale, conducting thresholding, OCR-processing, and puzzle-solving. I've also done parallel image location and extraction. It's a technical journey that's achieved some high-quality,...
In this blog, I explain the process behind my Sudoku Grab app, a solution that uses basic image processing techniques to recognize Sudoku puzzles. This is done by locating the puzzle in an image, turning it back into a square form, segmenting it to find potential numbers, and lastly, recognizing those numbers. This involves simple thresholding techniques, blob extraction algorithm, perspective transform, and a Neural Network for Optical Character Recognition (OCR) to recognize digits from the photograph. I conclude by mentioning the potential for multiple enhancements to this process.