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Analyzing Font Style Usage and Contextual Factors in Real Images

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Document Analysis and Recognition - ICDAR 2023 (ICDAR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14189))

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Abstract

There are various font styles in the world. Different styles give different impressions and readability. This paper analyzes the relationship between font styles and contextual factors that might affect font style selection with large-scale datasets. For example, we will analyze the relationship between font style and its surrounding object (such as “bus”) by using about 800,000 words in the Open Images dataset. We also use a book cover dataset to analyze the relationship between font styles with book genres. Moreover, the meaning of the word is assumed as another contextual factor. For these numeric analyses, we utilize our own font-style feature extraction model and word2vec. As a result of co-occurrence-based relationship analysis, we found several instances of specific font styles being used for specific contextual factors.

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Notes

  1. 1.

    http://www.kilgarriff.co.uk/bnc-readme.html.

  2. 2.

    https://fonts.google.com.

  3. 3.

    We tried padding to unify the width of the images, but this concatenation-based method was better for style feature extraction.

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Acknowledgment

This work was supported in part by JSPS KAKENHI Grant Numbers JP22H00540 and JP21H03511.

Author information

Authors and Affiliations

  1. Kyushu University, Fukuoka, Japan

    Naoya Yasukochi, Daichi Haraguchi & Seiichi Uchida

  2. Osaka University, Suita, Japan

    Hideaki Hayashi

Authors
  1. Naoya Yasukochi
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  2. Hideaki Hayashi
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  3. Daichi Haraguchi
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  4. Seiichi Uchida
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Corresponding author

Correspondence to Naoya Yasukochi .

Editor information

Editors and Affiliations

  1. TU Dortmund University, Dortmund, Germany

    Gernot A. Fink

  2. Adobe, College Park, MN, USA

    Rajiv Jain

  3. Osaka Metropolitan University, Osaka, Japan

    Koichi Kise

  4. Rochester Institute of Technology, Rochester, NY, USA

    Richard Zanibbi

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Yasukochi, N., Hayashi, H., Haraguchi, D., Uchida, S. (2023). Analyzing Font Style Usage and Contextual Factors in Real Images. In: Fink, G.A., Jain, R., Kise, K., Zanibbi, R. (eds) Document Analysis and Recognition - ICDAR 2023. ICDAR 2023. Lecture Notes in Computer Science, vol 14189. Springer, Cham. https://doi.org/10.1007/978-3-031-41682-8_21

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  • DOI: https://doi.org/10.1007/978-3-031-41682-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-41681-1

  • Online ISBN: 978-3-031-41682-8

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