Journal of Multimedia Processing and Technologies

DLINE Journals portal

Home

New Journals

Browse Journals

Journal Prices

For Authors

Print ISSN: 0976-4127
Online ISSN: 0976-4135

About JMPT
	DLINE Portal Home Home Aims & Scope Editorial Board Current Issue Next Issue Previous Issue Sample Issue Upcoming Conferences Self-archiving policy Alert Services Be a Reviewer Publisher Paper Submission Subscription Contact us

How To Order
	Order Online Price Information Request for Complimentary Print Copy

For Authors
	Guidelines for Contributors Online Submission Call for Papers Author Rights

RELATED JOURNALS

Journal of Digital Information Management (JDIM)

International Journal of Computational Linguistics Research (IJCL)

International Journal of Web Application (IJWA)

Journal of Multimedia Processing and Technologies

An Efficient Adaptive Local Binarization Algorithm for Extracting Text from an Image with a Complex Background

Antoaneta Popova
Faculty of Telecommunications at Technical University of Sofia 8 Kl. Ohridski Blvd, Sofia 1000, Bulgaria

Abstract: The adaptive local threshold algorithm is described in this paper. It has the same quality as Sauvola and is as fast as global threshold methods. The adaptive local threshold calculation is independent of the operator window size. It combines the advantages of Wiener filter prior processing, the integral images, and local threshold calculation.

Keywords: Binarization, Local Thresholding, Integral Images, Wiener Filter An Efficient Adaptive Local Binarization Algorithm for Extracting Text from an Image with a Complex Background

DOI:https://doi.org/10.6025/jmpt/2024/15/1/1-8

Full_Text PDF 1.34 MB Download: 42 times

References:

[1] Liang, X. (2009). Image Binarization using Otsu Method. NLPR-PAL Group, CASIA.

[2] Vonikakis, V., Andreadis, I., Papamarkos, N., Gasteratos, A. (2007). Adaptive Document Binarization: A human vision approach. In 2nd International Conference on Computer Vision Theory and Applications (VISAPP), Barcelona.

[3] Sauvola, J., Pietikainen, M. (2000). Adaptive Document Image Binarization. Pattern Recognition, 33(2), 225-236.

[4] Pavlos, S., Kavallieratou, E., Papamarkos, N. (2008). An Evaluation Technique for Binarization Algorithms. Journal of Universal Computer Science, 14(18), 3011-3030.

[5] Smith, E., Likforman-Sulem, L., Darbon, J. (2010). Effect of pre- processing on binarization. In Proceedings SPIE Electronic Imaging Document Recognition and Retrieval, 7534, 75340H-75340H-8.

[6] Derpanis. (2007). Integral image-based representations. Department of Computer Science and Engineering, York University.

[7] Shafait, F., Keysers, D., Breuel, T. M. (2008). Efficient Implementation of Local Adaptive Thresholding Techniques Using Integral Images. In: Proceedings of 15th International Conference on Document Recognition and Retrieval, 6815, 81510, San Jose, CA, USA.

DLINE Journals portal