Text detection in natural images with hybrid stroke feature transform and high performance deep Convnet computing-Reference-Cited by-同舟云学术

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Text detection in natural images with hybrid stroke feature transform and high performance deep Convnet computing

Published:2019-04-05 Issue:3 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Vidhyalakshmi M.¹^ORCID,Sudha S.²

Affiliation:

1. Department of Information Technology Anand Institute of Higher Technology Chennai India

2. Department of Electronics and Communication Engineering Easwari Engineering College Chennai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5271

Reference19 articles.

1. WangK.The street view text dataset (SVT). https://doi.org/tc11.cvc.uab.es/datasets/SVT_1

2. NeumannM.Real‐time scene text localization and recognition. In: Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition;2012;Providence RI.

3. HuangW LinZ YangJ WangJ.Text localization in natural images using stroke feature transform and text covariance descriptors. In: Proceedings of the 2013 IEEE International Conference on Computer Vision (ICCV);2013;Sydney Australia.

4. Text String Detection From Natural Scenes by Structure-Based Partition and Grouping

5. A Laplacian Approach to Multi-Oriented Text Detection in Video

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