@article{article_1641237, title={Jigsaw puzzle solving with template matching}, journal={Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi}, volume={14}, pages={1559–1570}, year={2025}, DOI={10.28948/ngumuh.1641237}, url={https://izlik.org/JA56EJ24CF}, author={Uçar, Kürşad}, keywords={Yapboz yeniden birleştirme, Şablon eşleştirme, Yapboz, Yapboz çözme}, abstract={Reassembling fragmented objects is a crucial problem in fields like archaeology, often approached through jigsaw puzzle solutions. This study presents two novel template-matching-based methods for solving jigsaw puzzles. The first method employs a two-stage approach: Principal Component Analysis (PCA) determines the rotation of scattered pieces, followed by template matching to align and position them. The second method directly locates pieces using template matching. Three test puzzles were used to evaluate the effectiveness of these approaches. The results demonstrate that both methods accurately identified piece positions in all cases, proving their robustness and reliability. However, the proposed methods are currently limited to cases where the appearance of pieces is not heavily affected by noise, occlusion, or large-scale rotation.}, number={4}