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A Lightweight Deep Learning Model for Text Detection in Fashion Design Sketch Images for Digital Transformation

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(10), pp.17-25
  • DOI : 10.9708/jksci.2023.28.10.017
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 25, 2023
  • Accepted : October 4, 2023
  • Published : October 31, 2023

Ju-Seok Shin 1,  Hyun-Woo Kang 1

1한국폴리텍대학

Accredited

ABSTRACT

In this paper, we propose a lightweight deep learning architecture tailored for efficient text detection in fashion design sketch images. Given the increasing prominence of Digital Transformation in the fashion industry, there is a growing emphasis on harnessing digital tools for creating fashion design sketches. As digitization becomes more pervasive in the fashion design process, the initial stages of text detection and recognition take on pivotal roles. In this study, a lightweight network was designed by building upon existing text detection deep learning models, taking into consideration the unique characteristics of apparel design drawings. Additionally, a separately collected dataset of apparel design drawings was added to train the deep learning model. Experimental results underscore the superior performance of our proposed deep learning model, outperforming existing text detection models by approximately 20% when applied to fashion design sketch images. As a result, this paper is expected to contribute to the Digital Transformation in the field of clothing design by means of research on optimizing deep learning models and detecting specialized text information.

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* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.
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