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To this end, the authors propose CS-RLDA that uses a Cuckoo search (CS) algorithm to select the optimal eigenvectors from a within-class matrix. However, the CS algorithm has a slow convergence speed. To deal with this problem, and to create more diversity and better trade-off between exploitation and exploration around the best solutions, the authors have modified the basic cuckoo algorithm by using a mutation operator. The experimental results performed on the ORL and UMIST databases indicate that the proposed method enhances the performance of FR.<\/jats:p>","DOI":"10.4018\/ijamc.2020040106","type":"journal-article","created":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T18:28:57Z","timestamp":1579285737000},"page":"118-133","source":"Crossref","is-referenced-by-count":5,"title":["Face Recognition Using RLDA Method Based on Mutated Cuckoo Search Algorithm to Extract Optimal Features"],"prefix":"10.4018","volume":"11","author":[{"given":"Souheila","family":"Benkhaira","sequence":"first","affiliation":[{"name":"The Computer Science and its Applications Department, Constantine2 University, Ali Mendjeli, Algeria"}]},{"given":"Abdesslem","family":"Layeb","sequence":"additional","affiliation":[{"name":"The Computer Science and its Applications Department, Constantine2 University, Ali Mendjeli, Algeria"}]}],"member":"2432","reference":[{"key":"IJAMC.2020040106-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.08.022"},{"key":"IJAMC.2020040106-1","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"IJAMC.2020040106-2","doi-asserted-by":"publisher","DOI":"10.1145\/937503.937505"},{"key":"IJAMC.2020040106-3","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(99)00139-9"},{"key":"IJAMC.2020040106-4","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-011-9276-0"},{"key":"IJAMC.2020040106-5","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2021982"},{"key":"IJAMC.2020040106-6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-03753-0_9"},{"key":"IJAMC.2020040106-7","doi-asserted-by":"publisher","DOI":"10.1016\/S1077-3142(03)00077-8"},{"key":"IJAMC.2020040106-8","doi-asserted-by":"publisher","DOI":"10.1002\/9780470512517"},{"issue":"2","key":"IJAMC.2020040106-9","article-title":"Review on local binary pattern for face recognition.","volume":"2","author":"R.Garg","year":"2014","journal-title":"International Journal of Advanced Research in Computer Science & Technology"},{"key":"IJAMC.2020040106-10","doi-asserted-by":"crossref","unstructured":"Hagen, G., Smith, T., Banasuk, A., Coifman, R. 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