{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T01:22:25Z","timestamp":1722907345416},"reference-count":20,"publisher":"World Scientific Pub Co Pte Lt","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:p> This paper proposes an efficient and fast iris localization method. It uses support vector machine learning of iris features that represent closed outer and inner iris boundaries encompassing a low-intensity region. In addition, depending on the location of the iris in an eye image, an iris detection method is proposed based on three sub-datasets of eye images (middle, right, and left sub-datasets) with different iris features. The proposed method is implemented using fast sliding window and fast computation of the iris detection score with binary features. Compared with state-of-the-art methods, experimental results show that the proposed method is twice as fast and has comparable accuracy, even when factoring in head rotation, glasses, and highlights. <\/jats:p>","DOI":"10.1142\/s0218001417560158","type":"journal-article","created":{"date-parts":[[2017,3,16]],"date-time":"2017-03-16T15:27:25Z","timestamp":1489678045000},"page":"1756015","source":"Crossref","is-referenced-by-count":3,"title":["Efficient and Fast Iris Localization Using Binary Radial Gradient Features for Human\u2013Computer Interaction"],"prefix":"10.1142","volume":"31","author":[{"given":"Hong-In","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, School of Engineering, Sogang University 35 Backbeom-ro (Sinsu-dong), Mapo-gu, Seoul 04107, Korea"}]},{"given":"Jin-Bum","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, School of Engineering, Sogang University 35 Backbeom-ro (Sinsu-dong), Mapo-gu, Seoul 04107, Korea"}]},{"given":"Rae-Hong","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, School of Engineering, Sogang University 35 Backbeom-ro (Sinsu-dong), Mapo-gu, Seoul 04107, Korea"}]}],"member":"219","published-online":{"date-parts":[[2017,3,16]]},"reference":[{"key":"S0218001417560158BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2013.6531125"},{"key":"S0218001417560158BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2012.6414976"},{"key":"S0218001417560158BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.818350"},{"key":"S0218001417560158BIB008","first-page":"1871","volume":"9","author":"Fan R.-E.","year":"2008","journal-title":"J. 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