A Novel and Efficient Feature Extraction Method for Iris Recognition
With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative‐sum‐bas...
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Published in | ETRI journal Vol. 29; no. 3; pp. 399 - 401 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
한국전자통신연구원
01.06.2007
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Subjects | |
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ISSN | 1225-6463 2233-7326 |
DOI | 10.4218/etrij.07.0206.0141 |
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Abstract | With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative‐sum‐based grey change analysis. Experimental results demonstrate that the proposed method can be used for human identification in efficient manner. |
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AbstractList | With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that the proposed method can be used for human identification in efficient manner. KCI Citation Count: 21 With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter; we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that the proposed method can be used for human identification in efficient manner: |
Author | Chung, Kyo‐IL Ko, Jong‐Gook Yoo, Jang‐Hee Gil, Youn‐Hee |
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Cites_doi | 10.1109/TIP.2004.827237 10.1109/ICMLC.2005.1527729 10.1109/34.244676 10.1109/78.668573 |
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References_xml | – volume: 46 start-page: 1185 issue: 4 year: 1998 end-page: 1188 article-title: A Human Identification Technique Using Images of the Iris and Wavelet Transform publication-title: IEEE Trans. Signal Processing – start-page: 18 year: 2005 end-page: 21 article-title: Iris Recognition Using Independent Component Analysis – year: 2004 article-title: Iris Features Extraction Using Wavelet Packet – volume: 13 start-page: 739 issue: 6 year: 2004 end-page: 749 article-title: Efficient Iris Recognition by Characterizing Key Local Variations publication-title: IEEE Trans. Image Processing – volume: 15 start-page: 1148 issue: 11 year: 1993 end-page: 1161 article-title: High Confidence Visual Recognition of Persons by a Test of Statistical Independence publication-title: IEEE Trans. Pattern Analysis and Machine Intelligence – volume: 25 issue: 12 year: 2003 article-title: Personal Identification Based on Iris Texture Analysis publication-title: IEEE Trans. Pattern Analysis and Machine Intelligence – ident: Key-10.4218/etrij.07.0206.0141-7 doi: 10.1109/TIP.2004.827237 – ident: Key-10.4218/etrij.07.0206.0141-4 doi: 10.1109/ICMLC.2005.1527729 – ident: Key-10.4218/etrij.07.0206.0141-1 doi: 10.1109/34.244676 – ident: Key-10.4218/etrij.07.0206.0141-2 doi: 10.1109/78.668573 |
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Title | A Novel and Efficient Feature Extraction Method for Iris Recognition |
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