Bilingual Printed Document Image Retrieval Based On SIFT Feature

被引：0

作者：

Firkat, Eksan ^{[1
]}

Dawut, Abdusalam ^{[1
]}

Tuerxun, Palidan ^{[1
]}

Hamdulla, Askar ^{[2
]}

机构：

[1] Xinjiang Univ, Sch Software, Urumqi 830046, Peoples R China

[2] Xinjiang Univ, Inst Informat Sci & Engn, Urumqi 830046, Peoples R China

来源：

2019 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS) | 2019年

关键词：

word spotting; SIFT; document retrieval system;

D O I：

10.1109/ICITBS.2019.00137

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This paper present a printed document retrieval system which can retrieve Chinese and Uyghur keywords from printed document images. In this paper we introduce the framework of the printed document retrieval system and processing step behind it which can be based line for the word spotting based document retrieval system, we also describe the extraction algorithm that use local feature as SIFT to extract the feature from image and use Euclidean based matching algorithm to query the matching word in printed document image. Some novel idea applied in this system might be helpful for some Other Bilingual printed document image retrieve system.

引用

页码：548 / 551

页数：4

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