DocumentCode
2907580
Title
Processing pre-existing connect-the-dots puzzles for educational repurposing applications
Author
Kilgore, Shelby E. ; Graves, Corey A.
Author_Institution
Electr. & Comput. Eng. Dept., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA
fYear
2015
fDate
23-27 March 2015
Firstpage
260
Lastpage
263
Abstract
This paper presents an algorithm for processing Connect-the-Dots puzzles. In particular, the use of Optical Character Recognition (OCR) and other image processing algorithms to process pre-existing Connect-the-Dots puzzles is explored. An algorithm was developed which utilizes Matlab and C# to locate and identify the numbers in the puzzles. To test the accuracy of the algorithm an experiment was conducted using 20 hand selected puzzles from an online source. The function of the algorithm was evaluated by visually capturing the make-up of the puzzles and comparing them to the results generated by the algorithm. Results show that the algorithm has promise of great accuracy with the implementation of small improvements. The proposed research will aid in the development of an application that will provide educational benefits to children in an emergent technological world.
Keywords
C language; computer aided instruction; mathematics computing; optical character recognition; C#; Matlab; educational repurposing applications; image processing algorithms; optical character recognition; preexisting connect-the-dots puzzle processing; Accuracy; Conferences; Education; Engines; Image processing; Optical character recognition software; Pervasive computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
Conference_Location
St. Louis, MO
Type
conf
DOI
10.1109/PERCOMW.2015.7134042
Filename
7134042
Link To Document