TY  - JOUR
EP  - 105
PB  - CESER Publications
SN  - 2231525X
N1  - cited By 4
SP  - 88
TI  - Border noise removal from the document image using X-Y cut and filtering technique based on morphological operation
AV  - none
A1  - Wagdy, M.
A1  - Faye, I.
A1  - Rohaya, D.
JF  - International Journal of Imaging and Robotics
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930795213&partnerID=40&md5=26e99531961fa64f1452fd7db7c05085
VL  - 15
Y1  - 2015///
N2  - Noise is a common problem in most of the image understanding analysis. Border noise is one of the common document noises that are introduced when scanning and/or capturing thick books and old books. This noise is responsible for non-accurate results for document image analysis system as example OCR engines. In this paper we introducedan algorithm which can effectively remove the border noise from the document image by using X-Y cut and filtering technique based on morphological operations. We evaluate our technique on CBDAR 2007 document dewarping dataset and make comparison with other state-of-art methods. The experiment results show the high performance of the algorithm in removing the border noise (textual and non-textual noise) for a variety of documents with different levels of complexity and different structure. The used documents include diagrams, figures, formulas and different languages (English, Arabic, Chinese and Japanese document). © 2015 by IJIR (CESER PUBLICATIONS).
IS  - 3
ID  - scholars6327
ER  -