원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
The 7th International Conference on Next Generation Computing 2021
2021.11
pp.47-49
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Scene Text Detection and Recognition is a problem of reading letters from everyday landscape images. Recently, STR research using deep learning models has been actively conducted for various applications. However, STR still has many challenges to overcome due to the complexity in image contents, which is much more challenging compared to recognizing letters in paper documents. In addition, the STR performance appears good for foreign characters such as English or Chinese, but poor for Korean. In this paper, we develop a model suitable for the Korean environment through the real world Korean scene text dataset. We measure the performance of various configurations of networks to find suitable network structure.
목차
Abstract
I. INTRODUCTION
II. MATERIALS AND METHODS
A. Proposed overall framework
B. Dataset for training and testing the model
III. EXPERIMENTS AND RESULT
A. Experimental results
B. Improve performance when changing each network
C. Inference Image
IV. CONCLUSIONS AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
I. INTRODUCTION
II. MATERIALS AND METHODS
A. Proposed overall framework
B. Dataset for training and testing the model
III. EXPERIMENTS AND RESULT
A. Experimental results
B. Improve performance when changing each network
C. Inference Image
IV. CONCLUSIONS AND FUTURE WORK
ACKNOWLEDGMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보