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arXiv · 1711.06769

A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles

Dror Sholomon·Eli David·Nathan S. Netanyahu
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Abstract

In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel procedure of merging two "parent" solutions to an improved "child" solution by detecting, extracting, and combining correctly assembled puzzle segments. The solver proposed exhibits state-of-the-art performance solving previously attempted puzzles faster and far more accurately, and also puzzles of size never before attempted. Other contributions include the creation of a benchmark of large images, previously unavailable. We share the data sets and all of our results for future testing and comparative evaluation of jigsaw puzzle solvers.

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Dror Sholomon, Eli David, Nathan S. Netanyahu. 2017-11-17. A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles. https://doi.org/10.1109/cvpr.2013.231

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