![]() ![]() Kamal S, Chawla SS, Goel N (2015) Detection of sudoku puzzle using image processing and solving by backtracking, simulated annealing and genetic algorithms: a comparative analysis. In: Advances in neural information processing systems 2015, pp 91–99 Ren S, He K, Girshick R, Sun J (2015) Faster r-cnn: towards real-time object detection with region proposal networks. In Proceedings of the IEEE conference on computer vision and pattern recognition 2016, pp 779–788 Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. We achieved an accuracy rate up to 99% in detecting the puzzle. ![]() Puzzle is detected and digits are recognized, which can be digital or handwritten and finally the puzzle is solved. By using ANN, we detect the numbers and empty spaces, later Backtracking algorithm is used in solving the puzzle in a more efficient manner. Initially, an image consisting of Sudoku is provided, by using object localization & CNN algorithms we detect the Sudoku square box. Moreover, image processing and object localization algorithms are used to detect the Sudoku puzzle. We have used deep-learning concepts to solve the Sudoku puzzle in a most optimized manner. It would be great, if a computer could solve Sudoku. We generally apply different math techniques to solve the Puzzle. Many find it difficult to solve the puzzle. Sudoku has been a challenging puzzle for many people, in fact it is considered as a brainstormer.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |