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Keep it simple: A Novel Algorithmic Based Chess Scoresheet Writing using Computer Vision by Palaniappan S; Sreedevi A G; Manikandan A; Ramprasad O G is a scholarly article available to read on EtoBox.

What is Keep it simple: A Novel Algorithmic Based Chess Scoresheet Writing using Computer Vision about?

Chess players use chess scoresheet to record the moves they and their opponent make during a game. Maintaining a scoresheet during the game in few time formats is mandatory. It serves several purposes for the players and the organization hosting the tournament. It assists players in learning from their mistakes and helps organizations resolve disputes between players. In a nutshell, the scoresheet is a proof. Handwritten score sheets have numerous drawbacks, necessitating the use of technology to automate them. Various researchers have worked on it, but it is done with either piece recognition or board recognition using Convolutional Neural Networks (CNN) algorithms. It frequently necessitates a large amount of computational power, generates memory overhead, and has numerous drawbacks. It only works for digital chess images (online chess games) or physical chess board images (offline chess games), not both. This paper proposes a novel algorithmic-based module called Keep it Simple (KIS). This KIS writes the scoresheet using the input binary matrix obtained from the digital image of the chess board. The proposed algorithm requires less computational power and eliminates all the bott

Author

Palaniappan S; Sreedevi A G; Manikandan A; Ramprasad O G

Publisher

IEEE

Published

2023

Language

EN