{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T10:21:46Z","timestamp":1649154106314},"reference-count":0,"publisher":"Zarqa University","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IAJIT"],"published-print":{"date-parts":[[2020,1,1]]},"abstract":"Most biometric identification applications suffer from the curse of dimensionality as the database size becomes very large, which could negatively affect both the identification performance and speed. In this paper, we use Projection Pursuit (PP) methods to determine clusters of individuals. Support Vector Machine (SVM) classifiers are then applied on each cluster of users separately. PP clustering is conducted using Friedman and Kurtosis projection indices optimized by Genetic Algorithm and Particle Swarm Optimization methods. Experimental results obtained using YALE face database showed improvement in the performance and speed of face identification system<\/jats:p>","DOI":"10.34028\/iajit\/17\/1\/14","type":"journal-article","created":{"date-parts":[[2019,12,22]],"date-time":"2019-12-22T07:39:04Z","timestamp":1577000344000},"page":"118-127","source":"Crossref","is-referenced-by-count":0,"title":["Face Identification based Bio-Inspired Algorithms"],"prefix":"10.34028","volume":"17","author":[{"given":"Sanaa","family":"Ghouzali","sequence":"first","affiliation":[{"name":"Department of Information Technology, King Saud University, Saudi Arabia"}]},{"given":"Souad","family":"Larabi","sequence":"additional","affiliation":[{"name":"Computer Science Department, Prince Sultan University, Saudi Arabia"}]}],"member":"19944","published-online":{"date-parts":[[2019,1,1]]},"container-title":["The International Arab Journal of Information Technology"],"original-title":[],"language":"en","deposited":{"date-parts":[[2020,2,18]],"date-time":"2020-02-18T10:26:15Z","timestamp":1582021575000},"score":1,"resource":{"primary":{"URL":"https:\/\/iajit.org\/PDF\/%20Vol%2017,%20No.%201\/15819.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1,1]]},"published-print":{"date-parts":[[2020,1,1]]}},"URL":"https:\/\/doi.org\/10.34028\/iajit\/17\/1\/14","archive":["Internet Archive","Internet Archive"],"relation":{},"ISSN":["2309-4524","1683-3198"],"issn-type":[{"value":"2309-4524","type":"electronic"},{"value":"1683-3198","type":"print"}],"subject":[],"published":{"date-parts":[[2019,1,1]]}}}