New Text Detection Technique Using Machine Learning Architecture-Reference-Cited by-同舟云学术

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New Text Detection Technique Using Machine Learning Architecture

Published:2022-10-05 Issue: Volume: Page:1-10
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Agarwal Samriddhi,Rahul Perepi,Neetu

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-0588-9_1

Reference18 articles.

1. Goel V, Kumar V, Jaggi AS, Nagrath P (2019) Text extraction from natural scene images using OpenCV and CNN. Int J Inf Technol Comput Sci (IJITCS) 11(9):48–54. https://doi.org/10.5815/ijitcs.2019.09.06

2. Epshtein B, Ofek E, Wexler Y (2010) Detecting text in natural scenes with stroke width transform. In: Proceedings of 2010 IEEE conference on computer vision and pattern recognition, pp 2963–2970

3. Baydin AG, Pearlmutter BA, Radul AA, Siskind JM (2018) Automatic differentiation in machine learning: a survey. J Mach Learn Res 18:1–43

4. Sahare P, Dhok SB (2017) Review of text extraction algorithms for scene- text and document images. IETE Tech Rev 34(2):144–164. https://doi.org/10.1080/02564602.2016.1160805

5. Panhwar MA, Memon KA, Abro A, Zhongliang D, Khuhro SA, Memon S (2019) Signboard detection and text recognition using artificial neural networks. In: 2019 IEEE 9th International conference on electronics information and emergency communication (ICEIEC), Beijing, China, pp 16–19. https://doi.org/10.1109/ICEIEC.2019.8784625

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