Writer Based Handwritten Document Image Retrieval Using Contour let Transform

被引：0
|
作者：
Shirdhonkar, M. S. [1 ]
Kokare, Manesh B. [2 ]
机构：
[1] Coll Engn, BLDEAs, Bijapur, India
[2] SGGS, Inst Engn & Technol, Nanded, India
来源：
ADVANCES IN DIGITAL IMAGE PROCESSING AND INFORMATION TECHNOLOGY | 2011年 / 205卷
关键词：
Document image analysis and retrieval; CT; document similarity measurement; handwritten documents; handwriting classification and retrieval; writer identification; IDENTIFICATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Many techniques have been reported for handwritten based document image retrieval. This paper proposes a novel method by using Contourlet Transform (CT) for feature extraction of document images which achieves high retrieval rate. The handwriting of different people is often visually distinctive; we take a global approach based on texture analysis, where each writer's handwriting is regarded as a different texture. The Canberra distance is used as similarity measure in proposed system. A retrieval result with proposed method is very promising with precision and recall as compared to the existing system.
引用
收藏
页码：108 / +
页数：3
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