Augmented Scene Text Recognition Using Crosswise Feature Extraction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-09138-z.pdf
Reference20 articles.
1. Zuo, L., Sun, H., Mao, Q., Qi, R., & Jia, R. (2019). Natural scene TextRecognition based on encoder-decoder framework. IEEE Access, 7, 62616–62623.
2. Gao, X., Han, S., & Luo, C. (2019). A detection and verification model based on SSD and encoder-decoder network for scene text detection. IEEE Access, 7, 71299–71310.
3. Yadav, U., Verma, S., Xaxa, D. K., & Mahobiya, C. (2017). A deep learning based character recognition system from multimedia document. In 2017 innovations in power and advanced computing technologies (i-PACT) (pp. 1–7), Vellore.
4. Li, S., Tang, M., Guo, Q., Lei, J., & Zhang, J. (2017). Deep neural network with attention model for scene text recognition. IET Computer Vision, 11(7), 605–612.
5. Pei, W., Yang, C., Meng, L., Hou, J., Tian, S., & Yin, X. (2018). Scene video text tracking with graph matching. IEEE Access, 6, 19419–19426.
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