Bilingual Printed Document Image Retrieval Based on SIFT Feature
Eksan Firkat, Abdusalam Dawut, Palidan Tuerxun, Askar Hamdulla · 2019
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.