Identification and removal of advertisements from yellow page documents

被引：0
|
作者：
Hashemi, RR [1 ]
Epperson, C [1 ]
Jones, S [1 ]
Jin, L [1 ]
Talburt, J [1 ]
机构：
[1] Univ Arkansas, Dept Comp Sci, Little Rock, AR 72204 USA
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS I AND II | 2001年
关键词：
OCR of yellow pages; identification of advertisements; hesitation; tracking; removal of advertisements;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
OCRing fails to deliver the information embaded in a yellow page document. Such failure stems from the fact that a yellow page document includes creative advertisements, multiple columns, and decorative graphics. In this research effort we introduce a set of algorithms that enables us to identify and remove advertisements from a scanned yellow page document, Removal of advertisements is a major step in paving the way for successful OCRing of the yellow pages. The scanned image is a gray scaled image with 256 gray levels and the resolution of 3300 x 4400. The experimental test shows 98% correct identification and removal of advertisements from the image.
引用
收藏
页码：94 / 100
页数：7
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