참고문헌 (20)

1. J. Baek, G. Kim, J. Lee, S. Park, D. Han, S. Yun, S. J. Oh, and H. Lee, "What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis," 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 2019, DOI: 10.1109/iccv.2019.00481. 

   

2. Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," IEEE, vol. 86, no. 11, pp. 2278-2324, 1998, DOI: 10.1109/5.726791. 

   상세보기

3. 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, Sep., 2019, DOI: 10.1109/tpami.2018.2848939. 

   상세보기

4. F. F. Borisyuk, A. Gordo, and V. Sivakumar, "Rosetta: Large Scale System for Text Detection and Recognition in Images," 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, DOI: 10.1145/3219819.3219861. 

   

5. SHI, Baoguang; BAI, Xiang; YAO, Cong. 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, 2016, 39.11: 2298-2304, DOI: 10.1109/TPAMI.2016.2646371. 

   상세보기

6. J.-H. Kim and J. Lim, "License Plate Detection and Recognition Algorithm using Deep Learning," Journal of IKEEE, vol. 23, no. 2, pp. 642-651, Jun., 2019, DOI: 10.7471/IKEEE.2019.23.2.642. 

   원문보기 상세보기

7. M. Seo, S. Lee, and D.-G. Choi, "Spatial-temporal Ensemble Method for Action Recognition," Journal of Korea Robotics Society, vol. 15, no. 4, pp. 385-391, Dec., 2020, DOI: 10.7746/jkros.2020.15.4.385. 

   원문보기 상세보기

8. D. Karatzas, L. Gomez-Bigorda, A. Nicolaou, S. Ghosh, A. Bagdanov, M. Iwamura, J. Matas, L. Neumann, V. R. Chandrasekhar, S. Lu, F. Shafait, S. Uchida, and E. Valveny, "ICDAR 2015 competition on Robust Reading," 2015 13th International Conference on Document Analysis and Recognition (ICDAR), Tunis, Tunisia, 2015, DOI: 10.1109/icdar.2015.7333942. 

   

9. A. Gupta, A. Vedaldi, and A. Zisserman, "Synthetic Data for Text Localisation in Natural Images," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 2016, DOI: 10.1109/cvpr.2016.254. 

   

10. M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman, "Synthetic data and artificial neural networks for natural scene text recognition," NIPS DLW, 2014, [Online], https://arxiv.org/pdf/1406.2227.pdf. 

11. D. Hendrycks and T. Dietterich, "Benchmarking neural network robustness to common corruptions and perturbations," International Conference on Learning Representations (ICLR), 2019, [Online], https://arxiv.org/pdf/1903.12261.pdf. 

12. E. Rusak, L. Schott, R. S. Zimmermann, J. Bitterwolf, O. Bringmann, M. Bethge, and W. Brendel, "A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions," Lecture Notes in Computer Science, pp. 53-69, 2020, DOI: 10.1007/978-3-030-58580-8_4. 

    

13. K. Wang, B. Babenko, and S. Belongie, "End-to-end scene text recognition," 2011 International Conference on Computer Vision, Barcelona, Spain, 2011, DOI: 10.1109/iccv.2011.6126402. 

    

14. B. Shi, X. Wang, P. Lyu, C. Yao, and X. Bai, "Robust Scene Text Recognition with Automatic Rectification," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 2016, DOI: 10.1109/cvpr.2016.452. 

    

15. M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu, "Spatial transformer networks," NIPS, 2015, [Online], https://proceedings.neurips.cc/paper/2015/file/33ceb07bf4eeb3da587e268d663aba1a-Paper.pdf. 

16. W. Liu, C. Chen, K. Wong, Z. Su, and J. Han, "STAR-Net: A SpaTial Attention Residue Network for Scene Text Recognition," British Machine Vision Conference 2016, 2016, DOI: 10.5244/c.30.43. 

    

17. Y. Mou, L. Tan, H. Yang, J. Chen, L. Liu, P. Yan, and Y. Huang, "PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit," European Conference on Computer Vision, pp. 158-174, 2020, DOI: 10.1007/978-3-030-58555-6_10. 

    

18. J.-H. Kim, "Automatic Recognition of Bank Security Card Using Smart Phone," The Journal of the Korea Contents Association, vol. 16, no. 12, pp. 19-26, Dec. 2016, DOI: 10.5392/JKCA.2016.16.12.019. 

    원문보기 상세보기

19. S. Lee and G. Park, "Proposal for License Plate Recognition Using Synthetic Data and Vehicle Type Recognition System," Journal of Broadcast Engineering, vol. 25, no. 5, pp. 776-788, Sep., 2020, DOI: 10.5909/JBE.2020.25.5.776. 

    원문보기 상세보기

20. C. -Y. Lee and S. Osindero, "Recursive recurrent nets with attention modeling for ocr in the wild," In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 2231-2239, DOI: 10.1109/CVPR.2016.245.