Article(id=1242119710343496502, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242119672376656598, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=-2209017600000, receivedDateStr=1900-01-01, revisedDate=-2209017600000, revisedDateStr=1900-01-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1268409600000, onlineDateStr=2010-03-13, pubDate=1268409600000, pubDateStr=2010-03-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1268409600000, onlineIssueDateStr=2010-03-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774074016411, creator=sys-migrate, updateTime=1774074016411, updator=sys-migrate, issue=Issue{id=1242119672376656598, tenantId=1146029695717560320, journalId=1146031591421210625, year='2010', volume='28', issue='05', pageStart='2', pageEnd='139', issueExtLink='null', onlineDate='null', pubDate='1268409600000', pubDateStr='2010-03-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774074007359, creator='sys-migrate', updateTime=1774074007359, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=34, endPage=39, ext={EN=ArticleExt(id=1242119719583551673, articleId=1242119710343496502, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Iris Recognition System at a Distance Based on Stereo Vision and Pan-tilt-zoom Camera, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=Iris recognition is an emerging biometrics technology. It is more accurate and robust than fingerprint recognition and face recognition, but with a bottleneck of the inconvenience in iris image acquisition. Many recent studies focus on the automatic iris recognition at a distance to make the operation more convenient. In this study, an iris recognition system is designed at a distance based on a stereo vision and a pan-tilt unit. The stereo vision system is pre-calibrated. After the human face detection, the system makes a face image registration between two stereo-vision cameras and uses the corresponding relationship to estimate the accurate spatial position of human eyes. The pan-tilt unit moves an iris camera towards the eye position, and with the auto-focusing function, the iris camera acquires high-quality iris images for the iris recognition. Experiments show that the stereo vision is accurate enough to estimate the spatial position and the acquired iris images are clear enough for a high performance of the iris recognition. The iris recognition system has a potential large-scale application in the future., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=bVvB1cxiTS7DRzjCxoE0Kw==, pdfFileSize=1623342, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242119716114862251, articleId=1242119710343496502, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于双目视觉和旋转云台的远距离虹膜识别系统, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=虹膜识别技术是一种新兴的生物特征识别技术，相对于指纹识别和人脸识别具有更高的准确率和稳定性，影响虹膜识别的瓶颈问题在于虹膜图像获取不太方便。当前该领域的热点就是研发一种可以在远距离、全自动地拍摄虹膜图像的设备，以解决虹膜识别的易用性问题。设计了一种基于双目视觉和旋转云台的远距离虹膜识别系统，该系统首先对摄像机进行标定，对双目摄像机中的人脸图像进行配准，从而估计人脸在空间中的大致位置；然后，系统利用旋转云台将虹膜摄像机自动对准人的眼睛并进行自动对焦，在捕获到清晰地虹膜图像后进行虹膜识别。实验证明，本文的立体视觉方法可以比较准确地定位物体空间位置，系统自动获取的虹膜图像质量好，识别率高。这种系统有望能够在未来的虹膜识别领域得以大规模应用。, authors=董文博，孙哲南，谭铁牛, authorsList=董文博;孙哲南;谭铁牛, authorCompany=中国科学院自动化研究所；模式识别国家重点实验室，北京 100190, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=9Vo0zGquo5PegksQpboybA==, pdfFileSize=1623342, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=[Author(id=1299117100195402311, tenantId=1146029695717560320, journalId=null, 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