레이블 분산을 이용한 글자의 회전 각도 추정
- Title
- 레이블 분산을 이용한 글자의 회전 각도 추정
- Authors
- 장현아
- Date Issued
- 2021
- Publisher
- 포항공과대학교
- Abstract
- This paper proposed a method to increase the accuracy of the predicted orientation
of text. We modified cross-entropy loss by distributing the label weight. After predicting
the initial angle by using the deep-learning method, the rotation angle was more
accurately predicted with a post-processing algorithm. Among the various distribution,
when the label was distributed by using triangular distribution, the accuracy was
the highest. The proposed model increased the accuracy of text orientation prediction,
and reduced the error by using triangular distribution, and consequently increased the
accuracy of final character recognition.
- URI
- http://postech.dcollection.net/common/orgView/200000598285
https://oasis.postech.ac.kr/handle/2014.oak/117292
- Article Type
- Thesis
- Files in This Item:
- There are no files associated with this item.
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