Price Tag Recognition using HSV Color Space

Authors

  • M. N. A. Hussin Department of Electronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia.
  • A. H. Ahmad Department of Electronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia.
  • M. A. Abdul Razak Department of Electronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia.

Keywords:

HSV Color Space, Optical Character Recognition, Region of Interest,

Abstract

Object and character recognition from images are widely used for example plate car number recognition, scanner and even in the autonomous car. Researchers had developed lot of algorithms and image processing techniques to extract the features in the image such as hue, saturation and value (HSV) color filtering. However, the application of optical character recognition and image processing is not limited to car plate recognition but it can be implemented to recognize the other application such as price tag recognition. This project employed HSV color model for filtering the color and several image processing techniques to get the Region of Interest (ROI) and Optical Character Recognition (OCR) to recognize the product name and price in the price tags. Three price tags from shopping malls namely A, G and T are selected and analyzed in Android system. The image of price tags is filtered by color and applied rectangle contour detection to find the bounded area of the price tags with background image. Then, the process continues with masking the specific part in the price tags to recognize the character. In this method, color and contour detection able to separate the ROI with background and almost get the desired result with detection accuracy of 92.3% for price tag G, 90.63% for price tag T and 59.4% for price tag A.

References

J. M. Guerrero, G. Pajares M. Montalvo, J. Romeo and M. Guijarro, “Support Vector ,Machines for crop/weeds identification in maize fields,” Expert Systems with Applications, vol. 39, no. 12, pp. 11149- 11155, 2012.

G. R. Bradski., “Computer vision face tracking for use in a perceptual user interface,” Intel Technology Journal, vol. 2, pp. 12-21, 1998.

E. Hamuda, B. Mc Ginley, M. Glavin and E. Jones “Automatic crop detection under field conditions using the HSV colour space and morphological operations,” Computers and Electronics in Agriculture, vol. 133, pp. 97-107, 2017.

K. B. Shaik, P. Ganesan, V. Kalist, B. S. Sathish and J. M. M. Jenitha, “Comparative study of skin color detection and segmentation in HSV and YCbCr color space,” Procedia Computer Science, vol. 57, pp. 41-48, 2015.

P. Arbelaez, M. Maire, C. Fowlkes and J. Malik, “Contour detection and hierarchical image segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 5, pp. 898-916, 2011.

P. Kapsalas, K. Rapantzikos, A. Sofou and Y. Avrithis, “Region of interest for accurate object detection,” in 2008 International Workshop on Content-Based Multimedia Indexing, London, 2008, pp. 147-154.

P. Forczmański and A. Markiewicz, “Two-stage approach to extracting visual objects from paper documents,” Machine Vision and Applications, vol 27, no. 8, pp. 1243-1257, 2016.

R. Smith and Z. Podobny, Tesseract Open Source OCR Engine (main repository), 2017.

Downloads

Published

2017-12-04

How to Cite

Hussin, M. N. A., Ahmad, A. H., & Abdul Razak, M. A. (2017). Price Tag Recognition using HSV Color Space. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-9), 77–84. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3129

Issue

Vol. 9 No. 3-9: Biomedical Electronics and Informatics

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.