Abstract
In this study it is aimed to capture a SUDOKU grid image, to process this image, to recognize the numbers in the grid image with Artificial Neural Networks and finally to constitute a 9 × 9 number array with these numbers. The reason of choosing SUDOKU game as the input material is the thought of SUDOKU game as a prototype of real world fitting problems. After this number recognition is completed successfully, a robot software who finds the right solution of a SUDOKU game automatically will be developed. The next aim of this robot software is solving real world fitting problems.
Author supplied keywords
Cite
CITATION STYLE
Sevgen, S., Arslan, E., & Samli, R. (2015). Number recognition of sudoku grid image with artificial neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9492, pp. 489–496). Springer Verlag. https://doi.org/10.1007/978-3-319-26561-2_58
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
