Border noise removal from the document image using X-Y cut and filtering technique based on morphological operation

Wagdy, M. and Faye, I. and Rohaya, D. (2015) Border noise removal from the document image using X-Y cut and filtering technique based on morphological operation. International Journal of Imaging and Robotics, 15 (3). pp. 88-105. ISSN 2231525X

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Abstract

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).

Item Type: Article
Additional Information: cited By 4
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:18
Last Modified: 09 Nov 2023 16:18
URI: https://khub.utp.edu.my/scholars/id/eprint/6327

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