{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T06:37:52Z","timestamp":1717483072552},"reference-count":17,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2013,8]]},"abstract":"<jats:p> This paper presents a reliable and robust palmprint verification approach that involves using a bi-feature, biometric, palmprint feature-point number (FPN) and a histogram of oriented gradient (HOG). The bi-feature was fused and verified using a support vector machine (SVM) at the feature level. The approach has the advantages of capturing palm images in pegless scenarios with a low cost and low-resolution (100 dpi) digital scanner, and one sensor can capture palmprint bi-feature information. The low-resolution images result in a smaller database. Nine thousand palmprint images were collected from 300 people to verify the validity of the proposed approach. The results showed an accurate classification rate of 99.04%. The experimental results demonstrated that the proposed approach is feasible and effective in palmprint verification. Our findings will help extend palmprint verification technology to security access control systems. <\/jats:p>","DOI":"10.1142\/s0218001413560077","type":"journal-article","created":{"date-parts":[[2013,6,30]],"date-time":"2013-06-30T20:58:38Z","timestamp":1372625918000},"page":"1356007","source":"Crossref","is-referenced-by-count":1,"title":["BI-FEATURE VERIFICATION FOR PALMPRINT IMAGES CAPTURED IN PEGLESS SCENARIOS"],"prefix":"10.1142","volume":"27","author":[{"given":"CHIH-LUNG","family":"LIN","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Hwa Hsia Institute of Technology, New Taipei City 23568, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"HSU-YUNG","family":"CHENG","sequence":"additional","affiliation":[{"name":"Institute of Computer Science and Information Engineering, National Central University, Chung-Li City 32054, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KUO-CHIN","family":"FAN","sequence":"additional","affiliation":[{"name":"Institute of Computer Science and Information Engineering, National Central University, Chung-Li City 32054, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHUN-WEI","family":"LU","sequence":"additional","affiliation":[{"name":"Institute of Computer Science and Information Engineering, National Central University, Chung-Li City 32054, Taiwan"},{"name":"Institute of Information Science, Academia Sinica, Taipei 11529, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHANG-JUNG","family":"JUAN","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Hwa Hsia Institute of Technology, New Taipei City 23568, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHIH-WEI","family":"KUO","sequence":"additional","affiliation":[{"name":"Materials and Electro-Optics Research Division, Chung-Shan Institute of Science and Technology, Taoyuan County, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2013,9,30]]},"reference":[{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(01)00179-9"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(02)00037-7"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1109\/34.709565"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.08.016"},{"key":"rf7","volume-title":"Biometrics Personal Identification in Networked Society","author":"Jain A. 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