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- Title
명함 이미지 회전 판단을 위한 딥러닝 모델 비교.
- Authors
경지훈
- Abstract
A smart business card printing system that automatically prints business cards requested by customers online is being activated. What matters is that the business card submitted by the customer to the system may be abnormal. This paper deals with the problem of determining whether the image of a business card has been abnormally rotated by adopting artificial intelligence technology. It is assumed that the business card rotates 0 degrees, 90 degrees, 180 degrees, and 270 degrees. Experiments were conducted by applying existing VGG, ResNet, and DenseNet artificial neural networks without designing special artificial neural networks, and they were able to distinguish image rotation with an accuracy of about 97%. DenseNet161 showed 97.9% accuracy and ResNet34 also showed 97.2% precision. This illustrates that if the problem is simple, it can produce sufficiently good results even if the neural network is not a complex one.
- Subjects
BUSINESS cards; ARTIFICIAL intelligence; SMART cards; CONSUMERS; ROTATIONAL motion
- Publication
Journal of the Korea Institute of Information & Communication Engineering, 2023, Vol 27, Issue 1, p34
- ISSN
2234-4772
- Publication type
Article
- DOI
10.6109/jkiice.2023.27.1.34