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オゴハラ カズノリ
OGOHARA Kazunori
小郷原 一智 所属 京都産業大学 理学部 宇宙物理・気象学科 職種 准教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2017/09/13 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Retinal biometrics based on Iterative Closest Point algorithm |
| 執筆形態 | その他 |
| 掲載誌名 | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
| 出版社・発行元 | Institute of Electrical and Electronics Engineers Inc. |
| 巻・号・頁 | pp.373-376 |
| 著者・共著者 | Yuji Hatanaka,Mikiya Tajima,Ryo Kawasaki,Koko Saito,Kazunori Ogohara,Chisako Muramatsu,Wataru Sunayama,Hiroshi Fujita |
| 概要 | The pattern of blood vessels in the eye is unique to each person because it rarely changes over time. Therefore, it is well known that retinal blood vessels are useful for biometrics. This paper describes a biometrics method using the Jaccard similarity coefficient (JSC) based on blood vessel regions in retinal image pairs. The retinal image pairs were rough matched by the center of their optic discs. Moreover, the image pairs were aligned using the Iterative Closest Point algorithm based on detailed blood vessel skeletons. For registration, perspective transform was applied to the retinal images. Finally, the pairs were classified as either correct or incorrect using the JSC of the blood vessel region in the image pairs. The proposed method was applied to temporal retinal images, which were obtained in 2009 (695 images) and 2013 (87 images). The 87 images acquired in 2013 were all from persons already examined in 2009. The accuracy of the proposed method reached 100%. |
| DOI | 10.1109/EMBC.2017.8036840 |
| ISSN | 1557-170X |
| PMID | 29059888 |
| Put Code(ORCID) | 52343321 |
| PermalinkURL | http://www.scopus.com/inward/record.url?eid=2-s2.0-85032199597&partnerID=MN8TOARS |
| researchmap用URL | http://orcid.org/0000-0001-7666-4442 |