The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Recognizing Text with Perspective Distortion in Natural Scenes
Abstract
This paper presents an approach to text recognition in natural scene images. Unlike most existing works which assume that texts are horizontal and frontal parallel to the image plane, our method is able to recognize perspective texts of arbitrary orientations. For individual character recognition, we adopt a bag-of-key points approach, in which Scale Invariant Feature Transform (SIFT) descriptors are extracted densely and quantized using a pre-trained vocabulary. Following [1, 2], the context information is utilized through lexicons. We formulate word recognition as finding the optimal alignment between the set of characters and the list of lexicon words. Furthermore, we introduce a new dataset called StreetViewText-Perspective, which contains texts in street images with a great variety of viewpoints. Experimental results on public datasets and the proposed dataset show that our method significantly outperforms the state-of-the-art on perspective texts of arbitrary orientations.
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Cites
Visual categorization with bags of keypoints
Csurka, G. (2004) · Cited by 4,379
Robust wide-baseline stereo from maximally stable extremal regions
Matas, J., Chum, O., Urban, M., & Pajdla, T. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.02.006 · Cited by 3,686
A comparison of affine region detectors
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., & Gool, L. V. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-3848-x · Cited by 2,939
A Novel Connectionist System for Unconstrained Handwriting Recognition
Graves, A., Liwicki, M., Fernandez, S., Bertolami, R., Bunke, H., & Schmidhuber, J. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.137 · Cited by 1,983
Detecting text in natural scenes with stroke width transform
Epshtein, B., Ofek, E., & Wexler, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540041 · Cited by 1,492
End-to-end scene text recognition
Wang, K., Babenko, B., & Belongie, S. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126402 · Cited by 1,060
End-to-End Text Recognition with Convolutional Neural Networks
Wang, T., Wu, D. J., Coates, A., & Ng, A. Y. (2012) · Cited by 839
Scene Text Recognition using Higher Order Language Priors
Mishra, A., Alahari, K., & Jawahar, C. (2012) · Procedings of the British Machine Vision Conference 2012 · doi:10.5244/c.26.127 · Cited by 831
Real-time scene text localization and recognition
Neumann, L., & Matas, J. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6248097 · Cited by 827
Bosch, A., Zisserman, A., & Muñoz, X. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744085_40 · Cited by 767
Cited by
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models
Li, M., Lv, T., Chen, J., Cui, L., Lu, Y., Florencio, D., Zhang, C., Li, Z., & Wei, F. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i11.26538 · Cited by 573
Scene Text Detection and Recognition: The Deep Learning Era
Long, S., He, X., & Yao, C. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-020-01369-0 · Cited by 527
(2022) · doi:10.1007/978-3-031-19815-1_29 · Cited by 469
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
Li, H., Wang, P., Shen, C., & Zhang, G. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33018610 · Cited by 432
AON: Towards Arbitrarily-Oriented Text Recognition
Cheng, Z., Xu, Y., Bai, F., Niu, Y., Pu, S., & Zhou, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00584 · Cited by 292
Metadata
- Authors
- Phan, T. Q., Shivakumara, P., Tian, S., & Tan, C. L.
- Venue
- 2013 IEEE International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2013-12
- Pages
- 569-576
- OpenAlex
- W2146835493
- Cited by
- 473
- References
- 29
- FWCI
- 5.55
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Phan, T. Q., Shivakumara, P., Tian, S., & Tan, C. L. (2013). Recognizing Text with Perspective Distortion in Natural Scenes. 2013 IEEE International Conference on Computer Vision. https://doi.org/10.1109/iccv.2013.76
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