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Reseach Article

Extraction Characters from Scene Image based on Shape Properties and Geometric Features

by Abdel-Rahiem A. Hashem, Mohd. Yamani Idna Idris, Moumen T. El-Melegy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 3
Year of Publication: 2017
Authors: Abdel-Rahiem A. Hashem, Mohd. Yamani Idna Idris, Moumen T. El-Melegy
10.5120/ijca2017914631

Abdel-Rahiem A. Hashem, Mohd. Yamani Idna Idris, Moumen T. El-Melegy . Extraction Characters from Scene Image based on Shape Properties and Geometric Features. International Journal of Computer Applications. 169, 3 ( Jul 2017), 30-35. DOI=10.5120/ijca2017914631

@article{ 10.5120/ijca2017914631,
author = { Abdel-Rahiem A. Hashem, Mohd. Yamani Idna Idris, Moumen T. El-Melegy },
title = { Extraction Characters from Scene Image based on Shape Properties and Geometric Features },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 3 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number3/27967-2017914631/ },
doi = { 10.5120/ijca2017914631 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:16:23.451324+05:30
%A Abdel-Rahiem A. Hashem
%A Mohd. Yamani Idna Idris
%A Moumen T. El-Melegy
%T Extraction Characters from Scene Image based on Shape Properties and Geometric Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 3
%P 30-35
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text extraction from scene images is a defy subject in light of low resolution, complex background and textual style/text size varieties. In this paper, we design a scheme to detect text based on shape features like Euler Number, a number of pixels for each region which candidate to be a character and vertical distances as a geometric feature between these regions. We divide these features into base features to collect the text regions, and the other features as a filter to discard the non-text regions. We use some threshold with the features either to extract text regions or to discard non-text regions. The proposed method outperforms some existed method through the basis metric.

References
  1. Qixiang Ye and David Doermann, Text Detection and Recognition in Imagery: A Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 7, pp. 1480-1500, June 2015.
  2. Chunmei Liu and et al., Text Detection in Images Based on Unsupervised Classification of Edge-based Features, in Proceedings of Eight International Conference on Document Analysis and Recognition, 2005, pp. 610-614
  3. Shivakumara P. and et al., Accurate video text detection through classification of low and high contrast images, Pattern Recognition, 43(2010), 2165-2185.
  4. Jie Y. and et al., A method for text line detection in natural images , Multimed Tools Appl (2015) 74: 859-884.
  5. Kita K. and Toru W., Binarization of Color Characters in scene images Using k-means Clustering and Support Vector Machines, International Conference on Pattern Recognition, 2010.
  6. Honggang Zhang and et al, Text extraction from natural scene image: A survey, Neurocomputing, 122,(2013)
  7. Shivakumara P. and et al., Multioriented Video Scene Text Detection Through Bayesian Classification and Boundary Growing, IEEE Transaction on Circuits and systems for Video Technology, vol. 22, no. 8, 2012.
  8. Shivakumara P. and et al, A new multi-modal approach to bib number/text detection and recognition in Marathon images, Pattern Recognition, 61, pp. 479-491, 2017.
  9. Sue We and Adnan Amin, Automatic Thresholding of Gray-level Using Multi-stage Approach, Proceedings of the Seventh International Conference on Document Analysi Recognition, IEEE, 2003.
  10. Abdel-Rahiem Hashem and et al., A Comparison study on text detection in scene images based on connected component analysis, IJCSIS, vol. 15, no. 2, pp. 127-139, 2017
  11. Matias Valdenegro- Toro and et al, Histogram of Stroke Width for Multi-script Text Detection and Verification in Road Scenes, IFAC , 2017.
  12. Shi C. and et al., End-to-end scene text recognition using tree-structure models, Pattern Recognition, 47, pp. 2853-2866, 2014
  13. Yu Qiao and et al., Thresholding based on variance and intensity contrast, Pattern Recognition, 40, pp. 596-608, 2007
  14. Regionprops. Measure properties of image regions https://www.mathworks.com/help/images/ref/regionprops.html
  15. Quartile. From Wikipedia: https://en.wikipedia.org/wiki/Quartile.
Index Terms

Computer Science
Information Sciences

Keywords

Scene text Shape properties Connected-components analysis.