Abstract
This paper proposes a new approach to eliminate the reflectance component for the detection of text in color images. Color images, printed by color printing technology, normally have an illumination component as well as a reflectance component. It is well known that a reflectance component usually obstructs the task of detecting and recognizing objects like texts in the scene, since it blurs out an overall image. We have developed an approach that efficiently removes reflectance components while preserving illumination components. We decided whether an input image hits Normal or Polarized for determining the light environment, using the histogram which consisted of a red component. We were able to go ahead through the ability to extract by reducing the blur phenomenon of text by light because reflection component by an illumination change and removed it and extracted text. The experimental results have shown a superior performance even when an image has a complex background. Text detection and recognition performance is influenced by changing the illumination condition. Our method is robust to the images with different illumination conditions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Almas Anjum, M.: A New Approach to Face Recognition Using Dual Dimension Reduction. IJSP 2(1) (2005)
Liao, P.-S., Chen, T.-S., Chung, P.-C.: A Fast Algorithm for Multilevel Thresholding. Information Science and Engineering 17 (2001)
Jain, A.: Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs (1989)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice-Hall, Englewood Cliffs (2002)
Myler, H.R., Weeks, A.R.: The Pocket Handbook of Image Processing Algorithms in C. Prentice Hall, Englewood Cliffs (1993)
Parker, J.R.: Algorithms for Image Processing and Computer Vision. Wiley computer publishing, Chichester (1997)
Umbaugh, S.E.: Computer Imaging: Digital Image Analysis and Processing. CRC Press, Florida (2005)
Papamarkos, N., Tzortzakis, J., Gatos, B.: Determination of run-length smoothing values for document segmentation, ICECS (1996)
Liu, Q.H.: Newspaper Headlines Extraction from Microfilm Images. IEEE, Los Alamitos (2002)
ABBYY.: (2005), www.finereader.com
Aremi.: (2006), http://www.perceptcom.com
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choi, M., Choi, H. (2007). Efficient Text Detection in Color Images by Eliminating Reflectance Component. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74484-9_103
Download citation
DOI: https://doi.org/10.1007/978-3-540-74484-9_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74482-5
Online ISBN: 978-3-540-74484-9
eBook Packages: Computer ScienceComputer Science (R0)