{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T12:00:50Z","timestamp":1747224050202,"version":"3.40.5"},"reference-count":26,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"abstract":"<jats:p>Finger vein identification is a dominating method of biometric technology used for authentication in a highly secure environment. Vein patterns are unique for each individual and it is underneath skin so there is less chance for forgery. In the current research work, finger vein features are extracted and verified for the purpose of authentication. The first step in this work is to pre-process the image obtained from the database. In order to get the region of interest (ROI) the threshold value is calculated using a standard deviation method followed by morphology-based functions available in the MATLAB software. After pre -processing a Gabor filter, fast filter, and freak descriptors are used. The features calculated at the freak descriptor processing are trained on classifiers namely discriminant and Na\u00efve Bayes. The features trained to the classifiers are then fed again into the classifiers and cross verified to update the results of accuracy. The accuracy calculated using discriminant analysis is 94.46% and by using Na\u00efve Bayes is 98.38%.<\/jats:p>","DOI":"10.4018\/ijcvip.2019100102","type":"journal-article","created":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T13:03:44Z","timestamp":1573131824000},"page":"15-27","source":"Crossref","is-referenced-by-count":0,"title":["Discriminant Analysis and Na\u00efve Bayes Classifier-Based Biometric Identification Using Finger Veins"],"prefix":"10.4018","volume":"9","author":[{"given":"Insha","family":"Qayoom","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, SEST, Jamia Hamdard, New Delhi, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0080-5063","authenticated-orcid":true,"given":"Sameena","family":"Naaz","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, SEST, Jamia Hamdard, New Delhi, India"}]}],"member":"2432","reference":[{"key":"IJCVIP.2019100102-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2012.07.206"},{"key":"IJCVIP.2019100102-1","doi-asserted-by":"publisher","DOI":"10.1109\/vlsic.2006.1705285"},{"key":"IJCVIP.2019100102-2","doi-asserted-by":"publisher","DOI":"10.1364\/AO.41.007429"},{"key":"IJCVIP.2019100102-3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2171697"},{"key":"IJCVIP.2019100102-4","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2016910175"},{"key":"IJCVIP.2019100102-5","doi-asserted-by":"publisher","DOI":"10.1002\/ima.20193"},{"key":"IJCVIP.2019100102-6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.05.069"},{"key":"IJCVIP.2019100102-7","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2012.6227456"},{"key":"IJCVIP.2019100102-8","first-page":"183","article-title":"Adaptive and generic corner detection based on the accelerated segment test.","author":"E.Mair","year":"2010","journal-title":"Proceedings of the European conference on Computer vision"},{"key":"IJCVIP.2019100102-9","doi-asserted-by":"publisher","DOI":"10.1002\/scj.10596"},{"key":"IJCVIP.2019100102-10","doi-asserted-by":"publisher","DOI":"10.1109\/ICADIWT.2014.6814681"},{"key":"IJCVIP.2019100102-11","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2689724"},{"key":"IJCVIP.2019100102-12","doi-asserted-by":"publisher","DOI":"10.1109\/AICERA.2014.6908263"},{"issue":"2","key":"IJCVIP.2019100102-13","first-page":"52","article-title":"A review on image enhancement of fingerprint using directional filters.","volume":"7","author":"R.Rajkumar","year":"2011","journal-title":"Assam University Journal of Science and Technology"},{"key":"IJCVIP.2019100102-14","doi-asserted-by":"publisher","DOI":"10.1109\/iwobi.2014.6913940"},{"key":"IJCVIP.2019100102-15","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2010.5506004"},{"key":"IJCVIP.2019100102-16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIST.2012.6221769"},{"key":"IJCVIP.2019100102-17","doi-asserted-by":"publisher","DOI":"10.5772\/18025"},{"key":"IJCVIP.2019100102-18","doi-asserted-by":"publisher","DOI":"10.1109\/ICWAPR.2012.6294778"},{"key":"IJCVIP.2019100102-19","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2014.6968381"},{"key":"IJCVIP.2019100102-20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.01.008"},{"key":"IJCVIP.2019100102-21"},{"key":"IJCVIP.2019100102-22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2684833"},{"key":"IJCVIP.2019100102-23","doi-asserted-by":"publisher","DOI":"10.4156\/pica.vol1.issue1.4"},{"key":"IJCVIP.2019100102-24"},{"key":"IJCVIP.2019100102-25","doi-asserted-by":"publisher","DOI":"10.1109\/ICIG.2007.97"}],"container-title":["International Journal of Computer Vision and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=241947","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T12:31:24Z","timestamp":1651840284000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJCVIP.2019100102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":26,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.4018\/ijcvip.2019100102","relation":{},"ISSN":["2155-6997","2155-6989"],"issn-type":[{"type":"print","value":"2155-6997"},{"type":"electronic","value":"2155-6989"}],"subject":[],"published":{"date-parts":[[2019,10]]}}}