최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기멀티미디어학회논문지 = Journal of Korea Multimedia Society, v.24 no.5, 2021년, pp.651 - 658
이동석 (AI Grand ICT Research Center, Dong-eui University) , 권순각 (Dept. of Computer Software Engineering, Dong-eui University)
In this paper, we propose methods for character recognition and classification for table items through deep learning. First, table areas are detected in a document image through CNN. After that, table areas are separated by separators such as vertical lines. The text in document is recognized throug...
Korean Import and Export Logistics Process Vol 5(2016), https://www.nlic.go.kr/nlic/WhsBordPdfSch.action (accessed May 28, 2021).
S. Ren, K. He, R. Girshick, and J. Sun, "Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 6, pp. 1137-1149, 2017.
K. He, G. Gkioxari, P. Dollar, and R. Girshick, "Mask R-CNN," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 2, pp. 386-397, 2020.
B. Shi, M. Yang, X. Wang. P. Lyu, C. Yao, and X. Bai, "ASTER: An Attentional Scene Text Recognizer with Flexible Rectification," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 9, pp. 2035-2048, 2019.
T. He, Z. Tian, W. Huang, C. Shen, Y. Qiao, and C. Sun, "An End-to-End TextSpotter with Explicit Alignment and Attention," Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5020-5029, 2018.
S. M. Gang and J. J. Lee, "Coreset Construction for Character Recognition of PCB Components Based on Deep Learning," Journal of Korea Multimedia Society, Vol. 24, No. 3, pp. 382-395, 2021.
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based Learning Applied to Document Recognition," Proceedings of the IEEE, Vol. 86, No. 11, pp. 2278-2324, 1998.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," Communications of the ACM, Vol. 60, No. 6, pp. 84-90, 2017.
P. Soviany and R. T. Ionescu, "Optimizing the Trade-off between Single-Stage and TwoStage Deep Object Detectors using Image Difficulty Prediction," Proceeding of the International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, pp. 209-214, 2018.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation," Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 580-587, 2014.
R. Girshick, "Fast R-CNN," Proceeding of the IEEE International Conference on Computer Vision, pp. 1440-1448, 2015.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unified, RealTime Object Detection," Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779-788, 2016.
J. Redmon and A. Farhadi, "YOLO9000: Better, Faster, Stronger," Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6517-6525, 2017.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, and A. C. Berg, "SSD: Single Shot MultiBox Detector," Proceeding of the European Conference on Computer Vision, pp. 21-37, 2016.
B. Shi, X. Bai, and C. Yao, "An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 11, pp. 2298-2304, 2017.
J. Wang and X. Hu, "Gated Recurrent Convolution Neural Network for OCR," Proceeding of the International Conference on Neural Information Processing Systems, pp. 334-343, 2017.
Z. Cheng, P. Bai, Y. Xu, G. Zheng, S. Pu, and S. Zhou, "Focusing Attention: Towards Accurate Text Recognition in Natural Images," Proceeding of the IEEE International Conference on Computer Vision, pp. 5076-5084, 2017.
K. He, X. Zhang, S. Ren and J. Sun, "Deep Residual Learning for Image Recognition," Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770-778, 2016.
Vocabulary List for Learning Korean(2003), https://www.korean.go.kr/front/etcData/etcDataView.do?mn_id46&etc_seq71 (accessed May 28, 2021).
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.