DocumentCode :
3734517
Title :
A novel and automatic character extraction and recognition for Sudoku puzzle solving
Author :
Tanh Minh Ly;Dung Trung Vo
Author_Institution :
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam
fYear :
2015
Firstpage :
546
Lastpage :
550
Abstract :
This paper proposes a novel algorithm to automatically solve a Sudoku puzzle on images taken from magazines or computer game software. The process involves preprocessing the image, extracting characters, recognizing characters and solving puzzle, which all are specifically designed for Sudoku. The algorithm effectiveness is verified with images taken from cameras. In this paper, a pixel to pixel comparison or a three layer Neural Network is used to recognize digits from 1 to 9 in Sudoku puzzles.
Keywords :
"Character recognition","Games","Image segmentation","Neural networks","Reliability","Gray-scale","Training"
Publisher :
ieee
Conference_Titel :
Advanced Technologies for Communications (ATC), 2015 International Conference on
ISSN :
2162-1020
Print_ISBN :
978-1-4673-8372-1
Type :
conf
DOI :
10.1109/ATC.2015.7388388
Filename :
7388388
Link To Document :
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