| Binarization | - NCSR:
Based on "B. Gatos, I. Pratikakis and S. J. Perantonis, Adaptive
Degraded Document Image Binarization, Pattern Recognition, Vol. 39, pp.
317-327, 2006"
- FR8.1: From FineReader Engine v. 8.1. IMPORTANT
NOTICES: (a) You must have the engine already intalled. (b) You must
edit file [Install Dir]/temp/Binarization/FRkey.txt and add your
FineReader license key code
|
| Border Removal | - Auto: Based on projection profiles and connected component analysis.
- Auto_Edit: Press inside the marked area and adjust it by draging the black points.
|
| Page Split | - Auto:
Based on "N. Stamatopoulos, B. Gatos, T. Georgiou, Page frame detection
for double page document images, 9th IAPR International Workshop on
Document Analysis Systems (DAS 2010), pp. 401-408, Cambridge, MA, USA,
June 2010"
- Auto_Edit: Press inside the left or right marked area and adjust it by draging the black points.
|
| Dewarping | - Auto: Based on "N.
Stamatopoulos, B. Gatos, I. Pratikakis and S.J.
Perantonis, Goal-oriented Rectification of Camera-Based Document
Images, IEEE Transactions on Image Processing, vol. 20, no. 4, pp.
910-920, 2011." IMPORTANT NOTICE: It can be applied only to single column documents.
- Auto_Edit: Manually correct the
position of the two lines and the two curves that delimit the text area by draging the corresponding black points. Press ">" button to test the result.
|
| Enhancement(gray) | - Wiener:
Wiener filter is commonly used in filtering theory for image
restoration. It can be applied to degraded and poor quality grayscale
documents in order to eliminate noisy areas, smooth the background
texture as well as enhance the contrast between background and text
areas (A. Jain, Fundamentals of Digital Image Processing,
Prentice-Hall, Englewood Cliffs, NJ, 1989). The windows size of the
Wiener filter can be set by activating the settings window of the
corresponding module (right click on the module at the workflow line
and select “Settings”)
|
| Enhancement(binary) | - Despeckle
: Despeckling is the operation of removing unwanted small components of
the binary image. The maximum size of the noise component to be removed
can be set by activating the settings of the corresponding module.
|
