Offline handwritten mathematical expression recognition based on YOLOv5s

The error accumulation in traditional offline handwritten mathematical expression recognition (OHMER) becomes challenging, because of the two-dimensional structure and writing arbitrariness of offline handwritten mathematical formulas. In this study, an OHMER method based on YOLOv5s was proposed. Fi...

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Veröffentlicht in:	The Visual computer 2024-03, Vol.40 (3), p.1439-1452
Hauptverfasser:	Li, Fei, Fang, Hongbo, Wang, Dengzhun, Liu, Ruixin, Hou, Qing, Xie, Benliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial Intelligence Clustering Computer Graphics Computer Science Datasets Fault tolerance Handwriting recognition Image Processing and Computer Vision Mathematical analysis Methods Original Article Symbols Two dimensional analysis
Online-Zugang:	Volltext
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