mlsanityData to 14 Oct 2026

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition

arXiv 2507.00430 ↗First posted 1 Jul 2025cs.CVcited by 1

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Abstract (arXiv)

Handwritten mathematical expression recognition (HMER) suffers from complex formula structures and character layouts in sequence prediction. In this paper, we incorporate frequency domain analysis into HMER and propose a method that marries frequency domain with HMER (MFH), leveraging the discrete cosine transform (DCT). We emphasize the structural analysis assistance of frequency information for recognizing mathematical formulas. When implemented on various baseline models, our network exhibits a consistent performance enhancement, demonstrating the efficacy of frequency domain information. Experiments show that our MFH-CoMER achieves noteworthy accuracyrates of 61.66%/62.07%/63.72% on the CROHME 2014/2016/2019 test sets. The source code is available at https://github.com/Hryxyhe/MFH.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 28 of its 54 references that are in the map. First posted on arXiv 1 Jul 2025.

Builds on

28 of 54 references.

References · 28

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16 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Cross-Domain Few-Shot Writer Adaptation for Real-World Handwritten Mathematical Expression Recognitioncited by 0