0
Regular Articles

Binarization method based on evolution equation for document images produced by cameras

[+] Author Affiliations
Yan Wang

Chongqing University, College of Mathematics and Statistics, Chongqing 401331, China

Chuanjiang He

Chongqing University, College of Mathematics and Statistics, Chongqing 401331, China

J. Electron. Imaging. 21(2), 023030 (Jul 03, 2012). doi:10.1117/1.JEI.21.2.023030
History: Received May 9, 2011; Revised April 5, 2012; Accepted April 26, 2012
Text Size: A A A

Abstract.  We present an evolution equation-based binarization method for document images produced by cameras. Unlike the existing thresholding techniques, the idea behind our method is that a family of gradually binarized images is obtained by the solution of an evolution partial differential equation, starting with an original image. In our formulation, the evolution is controlled by a global force and a local force, both of which have opposite sign inside and outside the object of interests in the original image. A simple finite difference scheme with a significantly larger time step is used to solve the evolution equation numerically; the desired binarization is typically obtained after only one or two iterations. Experimental results on 122 camera document images show that our method yields good visual quality and OCR performance.

Figures in this Article
© 2012 SPIE and IS&T

Citation

Yan Wang and Chuanjiang He
"Binarization method based on evolution equation for document images produced by cameras", J. Electron. Imaging. 21(2), 023030 (Jul 03, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.023030


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
 
Your Session has timed out. Please sign back in to continue.
Sign In to Access Full Content

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Advertisement

Buy this article ($18 for members, $25 for non-members).
Sign In