摘要
随着外观专利数据的快速增长,单机环境下的外观专利图像检索系统越来越难以满足用户快速检索的需求。为提升大规模外观专利图像检索效率,该文设计一种基于hadoop的分布式外观专利图像检索系统。该系统利用提取图像特征的LIRe开发包和分布式检索系统hadoop,并行提取出图片的特征,建立特征库和索引库,并利用多特征索引联合检索方式提高查准率,实验验证了在外观专利数据系统可有效提升检索效率。
With the rapid growth of appearance patent data,appearance patent image retrieval system in stand-alone environment is more and more difficult to meet the needs of fast retrieval.In order to promote large-scale appearance patent retrieval efficiency,this paper designed a distributed appearance patent image retrieval system based on the hadoop framework of the system.The pro⁃posed system adopts LIRe development package for extracting image features and Distributed cloud computing platform Hadoop to parallelly extract image features and establish feature database and index database.Retrieval method with Multi-feature index is used to improve the accuracy,experimental results show that this patent images retrieval system can effectively improve the effi⁃ciency of retrieval.
作者
李宇
LI Yu(Guangdong University of Technology,Guangzhou 510006,China)
出处
《电脑知识与技术》
2021年第18期205-208,共4页
Computer Knowledge and Technology
