摘要
根据人脸照片快速检索人物信息,在实际应用中具有重要意义。借助互联网的海量数据,利用网络爬虫技术可以对人脸数据进行爬取。文中设计的检索平台首先对人脸照片进行预处理;然后利用SURF算法提取特征,并将特征数据保存为XML文件;再利用FLANN算法进行特征向量匹配,得到匹配的人物;最后,将匹配的人物信息通过用户接口进行展示。实验结果显示该检索平台具有良好的应用前景。
It is of great significance in practice to quickly retrieve the personnel information according to facial photo.With the help of the massive data of the internet,the web crawler technology can be used to capture the facial photo data.In this system,firstly,the facial photo is preprocessed.Secondly,the features are extracted by SURF algorithm and the feature data is saved as an XML file.Thirdly,the FLANN algorithm is used to match the feature vectors to get the matched person.Lastly,the matched personnel information is displayed through user interface.The experimental results show that the system has a good application prospect.
作者
刘晖
龚知资
LIU Hui;GONG Zhizi(College of Science,Central South University of Forestry&Technology,Changsha 410004,China)
出处
《现代信息科技》
2020年第13期74-76,81,共4页
Modern Information Technology
基金
湖南省教育厅项目(71302-23180006)
湖南省教育厅教改项目(SJG2014200)。
关键词
网络爬虫
图像检索
人脸识别
web crawler
image retrieval
face recognition
