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文章來源:Expert Systems with Applications, 38（2011）：13670-13681 文獻(xiàn)題目: A personal identification system using retinal vasculature in retinal fundus images 需要檢索號 |
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A personal identification system using retinal vasculature in retinal fundus images 作者:Kose, C (Kose, Cemal)[ 1 ] ; Ikibas, C (Ikibas, Cevat)[ 1 ] EXPERT SYSTEMS WITH APPLICATIONS 卷: 38 期: 11 頁: 13670-13681 DOI: 10.1016/j.eswa.2011.04.141 出版年: OCT 2011 查看期刊信息 摘要 The characteristics of human body such as fingerprint, face, hand palm and iris are measured, recorded and identified by performing comparison using biometric devices. Even though it has not seen widespread acceptance yet, retinal identification based on retinal vasculatures in retina provides the most secure and accurate authentication means among biometric systems. Using retinal images taken from individuals, retinal identification is employed in environments such as nuclear research centers and facilities, weapon factories, where extremely high security measures are needed. The superiority of this method stems from the fact that retina is unique to every human being and it would not be changed during human life. Adversely, other identification approaches such as fingerprint, face, palm and iris recognition, are all vulnerable in that those characteristics can be corrupted via plastic surgeries and other changes. In this study we propose an alternate personal identification system based on retinal vascular network in retinal images, which tolerates scale, rotation and translation in comparison. In order to accurately identify a person our new approach first segments vessel structure and then employ similarity measurement along with the tolerations. The developed system, tested on about four hundred images, presents over 95% of success which is quite promising. (C) 2011 Elsevier Ltd. All rights reserved. 關(guān)鍵詞 作者關(guān)鍵詞:Biometric identification; Retinal identification; Retinal image analysis; Vessel segmentation; Similarity measurement KeyWords Plus:MACULAR DEGENERATION; BLOOD-VESSELS; SEGMENTATION; DIAGNOSIS 作者信息 通訊作者地址: Kose, C (通訊作者) 顯示增強(qiáng)組織信息的名稱 Karadeniz Tech Univ, Fac Engn, Dept Comp Engn, TR-61080 Trabzon, Turkey. 地址: 顯示增強(qiáng)組織信息的名稱 [ 1 ] Karadeniz Tech Univ, Fac Engn, Dept Comp Engn, TR-61080 Trabzon, Turkey 電子郵件地址:ckose@ktu.edu.tr; cikibas@ktu.edu.tr 出版商 PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 類別 / 分類 研究方向:Computer Science; Engineering; Operations Research & Management Science Web of Science 類別:Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science 文獻(xiàn)信息 文獻(xiàn)類型:Article 語種:English 入藏號: WOS:000294084700019 ISSN: 0957-4174 其他信息 IDS 號: 809VL Web of Science 核心合集中的 "引用的參考文獻(xiàn)": 33 Web of Science 核心合集中的 "被引頻次": 6 |
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