Rfpssih: reducing false positive text detection sequels in scenery images using hybrid technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-023-02070-4.pdf
Reference26 articles.
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2. Chen H, Tsai SS, Schroth G, Chen DM, Grzeszczuk R, Girod B, Robust text detection in natural images with edge-enhanced maximally stable extremal regions, in, (2011) 18th IEEE international conference on image processing. IEEE 2011:2609–2612
3. Ch’ng C-K, Chan CS, Liu C-L (2020) Total-text: toward orientation robustness in scene text detection. Int J Doc Anal Recognit (IJDAR) 23(1):31–52
4. Epshtein B, Ofek E, Wexler Y, Detecting text in natural scenes with stroke width transform, in, (2010) IEEE computer society conference on computer vision and pattern recognition. IEEE 2010:2963–2970
5. Gllavata J, Ewerth R, Freisleben B (2004) Text detection in images based on unsupervised classification of high-frequency wavelet coefficients, in: Proceedings of the 17th international conference on pattern recognition, 2004. ICPR 2004., Vol. 1, IEEE, pp. 425–428
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