{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:01:02Z","timestamp":1761663662969},"reference-count":42,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2017,9]]},"abstract":"<jats:p> The robust feature extraction method for face representation is an important issue in face recognition. In this paper, we extract a new kind of feature through applying the idea of local binary pattern (LBP) into the resulted sub-images of Gabor transform. The new feature, i.e. Gabor-LBP-Like (GLLBP), together with its extension methods (1) overcome the drawback of losing information after Gabor transform\u2019s down-sampling; (2) are insensitive to noise, compared with the LBP feature extracted from the original face image; and (3) are robust to image variation, especially occlusion and illumination changes when compared with other existing features combined LBP and Gabor transform. To validate the effectiveness of these features, we do experiments on the ORL, FERET, Georgia Tech and LFW facial databases. The numerical results show that GLLBP and its extensions are miraculous features for face recognition. <\/jats:p>","DOI":"10.1142\/s0219691317500497","type":"journal-article","created":{"date-parts":[[2017,6,27]],"date-time":"2017-06-27T10:14:26Z","timestamp":1498558466000},"page":"1750049","source":"Crossref","is-referenced-by-count":5,"title":["LBP-like feature based on Gabor wavelets for face recognition"],"prefix":"10.1142","volume":"15","author":[{"given":"Wen-Juan","family":"Li","sequence":"first","affiliation":[{"name":"Center for Applied Mathematics of Tianjin University, Tianjin 300072, P. R. China"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"Center for Applied Mathematics of Tianjin University, Tianjin 300072, P. R. China"}]},{"given":"Zheng-Hai","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Mathematics, School of Science, Tianjin University, Tianjin 300072, P. R. 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