Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4970191 | Pattern Recognition Letters | 2017 | 9 Pages |
Abstract
In this paper, we propose a local blur estimation for document images captured by portable cameras. A novel blur pixel feature is extracted from pixel's properties in working zones to initialize a fuzzy clustering of blur and non-blur classes. At the final state of the process, a blur region is determined for each working zone. The blur score is given by the average of all membership values of pixels in the blur region. The quantitative evaluation on two real databases (DIQA and an industrial database) shows that our method achieves good results in comparison with recent methods estimated on these databases.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Van Cuong Kieu, Florence Cloppet, Nicole Vincent,