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Prediction of Doodle Images Using Neural Networks

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(5), pp.29-38
  • DOI : 10.9708/jksci.2023.28.05.029
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 7, 2023
  • Accepted : May 22, 2023
  • Published : May 31, 2023

Hae-Chan Lee 1 Kyu-Cheol Cho 1

1인하공업전문대학

Accredited

ABSTRACT

Doodles, often possess irregular shapes and patterns, making it challenging for artificial intelligence to mechanically recognize and predict patterns in random doodles. Unlike humans who can effortlessly recognize and predict doodles even when circles are imperfect or lines are not perfectly straight, artificial intelligence requires learning from given training data to recognize and predict doodles. In this paper, we leverage a diverse dataset of doodle images from individuals of various nationalities, cultures, left-handedness, and right-handedness. After training two neural networks, we determine which network offers higher accuracy and is more suitable for doodle image prediction. The motivation behind predicting doodle images using artificial intelligence lies in providing a unique perspective on human expression and intent through the utilization of neural networks. For instance, by using the various images generated by artificial intelligence based on human-drawn doodles, we expect to foster diversity in artistic expression and expand the creative domain.

Citation status

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