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Text block segmentation in comic speech bubbles

Abstract : Comics and manga text recognition are attracting an increasing research and industrial interest. Also, the state of the art text detection and OCR performances is starting to be mature enough to provide automatic text recognition for a variety of comics and manga writing styles. However, comics text layout sometimes prevents usual text line detection to be applied successfully, even within speech bubbles. In this paper, we propose a domain specific text block detection method able to detect single and multiple text block regions inside speech bubbles, in order to enhance OCR transcription and further post-processing. This approach presents very satisfactory results on all tested bubble styles from Latin and non-Latin scripts.
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https://hal.archives-ouvertes.fr/hal-03281488
Contributor : Christophe Rigaud Connect in order to contact the contributor
Submitted on : Thursday, July 8, 2021 - 11:38:13 AM
Last modification on : Thursday, May 12, 2022 - 3:39:00 PM
Long-term archiving on: : Saturday, October 9, 2021 - 6:31:30 PM

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Christophe Rigaud, Nhu-Van Nguyen, Jean-Christophe Burie. Text block segmentation in comic speech bubbles. Pattern Recognition. ICPR International Workshops and Challenges, pp.250-261, 2021, ⟨10.1007/978-3-030-68780-9_22⟩. ⟨hal-03281488⟩

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