{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:48Z","timestamp":1750220628235,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T00:00:00Z","timestamp":1592524800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,19]]},"DOI":"10.1145\/3408127.3408166","type":"proceedings-article","created":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T03:31:13Z","timestamp":1599795073000},"page":"107-111","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Research on Scene Text Recognition Algorithm Basedon Improved CRNN"],"prefix":"10.1145","author":[{"given":"Yilin","family":"Chen","sequence":"first","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Juan","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,9,10]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Shi B.; Bai X.; and Yao C. 2015. An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. CoRR abs\/1507.05717.  Shi B.; Bai X.; and Yao C. 2015. An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. CoRR abs\/1507.05717."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Pan X.; Luo P.; Shi J. 2018. Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net. arXiv Preprint:1807.09441.  Pan X.; Luo P.; Shi J. 2018. Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net. arXiv Preprint:1807.09441.","DOI":"10.1007\/978-3-030-01225-0_29"},{"key":"e_1_3_2_1_3_1","unstructured":"K. Simonyan; A. Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556.  K. Simonyan; A. Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556."},{"volume-title":"ICDAR 2013 robust reading competition. ICDAR","author":"Karatzas D.","key":"e_1_3_2_1_4_1","unstructured":"D. Karatzas , F. Shafait , S. Uchida , M. Iwamura , L. G. i Bigorda , S. R. Mestre , J. Mas , D. F. Mota , J. Almazan , and ' L. de las Heras. 2013 . ICDAR 2013 robust reading competition. ICDAR D. Karatzas, F. Shafait, S. Uchida, M. Iwamura, L. G. i Bigorda, S. R. Mestre, J. Mas, D. F. Mota, J. Almazan, and 'L. de las Heras. 2013. ICDAR 2013 robust reading competition. ICDAR"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. arXiv:1801","author":"Liu Xuebo","key":"e_1_3_2_1_5_1","unstructured":"Xuebo Liu , Ding Liang , Shi Yan . FOTS : Fast Oriented Text Spotting with a Unified Network . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. arXiv:1801 .01671v1. Xuebo Liu, Ding Liang, Shi Yan. FOTS: Fast Oriented Text Spotting with a Unified Network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. arXiv:1801.01671v1."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"He W.; Huang T.; He Q.. 2017. Single Shot Text Detector with Regional Attention. arXiv Preprint:1709.00138.  He W.; Huang T.; He Q.. 2017. Single Shot Text Detector with Regional Attention. arXiv Preprint:1709.00138.","DOI":"10.1109\/ICCV.2017.331"},{"key":"e_1_3_2_1_7_1","unstructured":"A. Krizhevsky; I. Sutskever and G. E. Hinton. 2012. Imagenet classification with deep convolutional neural networks. NIPS  A. Krizhevsky; I. Sutskever and G. E. Hinton. 2012. Imagenet classification with deep convolutional neural networks. NIPS"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_9_1","unstructured":"K. Simonyan; A. Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556.  K. Simonyan; A. Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Gupta A.; Vedaldi A.; and Zisserman A. 2016. Synthetic data for text localisation in natural images. CVPR.  Gupta A.; Vedaldi A.; and Zisserman A. 2016. Synthetic data for text localisation in natural images. CVPR.","DOI":"10.1109\/CVPR.2016.254"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"M. Jaderberg A. Vedaldi and A. Zisserman. 2014. Deep featuresfor text spotting. ECCV  M. Jaderberg A. Vedaldi and A. Zisserman. 2014. Deep featuresfor text spotting. ECCV","DOI":"10.1007\/978-3-319-10593-2_34"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"M. Jaderberg K. Simonyan A. Vedaldi and A. Zisserman.2015. Reading text in the wild with convolutional neural networks. IJCV (Accepted)  M. Jaderberg K. Simonyan A. Vedaldi and A. Zisserman.2015. Reading text in the wild with convolutional neural networks. IJCV (Accepted)","DOI":"10.1007\/s11263-015-0823-z"},{"key":"e_1_3_2_1_13_1","unstructured":"M. Jaderberg K. Simonyan A. Vedaldi and A. Zisserman. 2015. Deep structured output learning for unconstrained text recognition. ICLR  M. Jaderberg K. Simonyan A. Vedaldi and A. Zisserman. 2015. Deep structured output learning for unconstrained text recognition. ICLR"}],"event":{"name":"ICDSP 2020: 2020 4th International Conference on Digital Signal Processing","sponsor":["University of Electronic Science and Technology of China University of Electronic Science and Technology of China"],"location":"Chengdu China","acronym":"ICDSP 2020"},"container-title":["Proceedings of the 2020 4th International Conference on Digital Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3408127.3408166","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3408127.3408166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:34Z","timestamp":1750197694000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3408127.3408166"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,19]]},"references-count":13,"alternative-id":["10.1145\/3408127.3408166","10.1145\/3408127"],"URL":"https:\/\/doi.org\/10.1145\/3408127.3408166","relation":{},"subject":[],"published":{"date-parts":[[2020,6,19]]},"assertion":[{"value":"2020-09-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}