A Combined Layer-Based Approach for the Segmentation of Document Images

Author:

Mtimet Jassem1,Amiri Hamid1

Affiliation:

1. Signal, Image and Technology of Information Laboratory, National Engineering School of Tunis, Tunis el Manar University, BP 37 Belvedere, 1002, Tunis, Tunisia

Abstract

There are many challenges addressed in MRC compression, such as the segmentation of the document into foreground and background layers, represented as a binary mask. Usually, the resulting quality of a MRC compression method depends on the segmentation algorithm used to compute the binary mask. The aim of this work is to leverage state-of-the-art techniques in document segmentation allowing further content, such as text or images, to be exploited in an efficient way. Then, a novel methodology is proposed that leads to increasing document segmentation performance for MRC compression scheme.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3