期刊
3RD INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING 2015 (ICRTC-2015)
卷 57, 期 -, 页码 960-969出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2015.07.493
关键词
Gabor; Gabor; Kernel Fisher; Face Recognition
Face Recognition (FR) has consistently been one of the most formidable problems in Pattern Recognition and many diverse techniques have been proposed over the past few years to enhance its effectiveness. Feature extractors play an instrumental role in establishing recognition accuracy of FR systems and hence in this paper, we ardently focus our attention on the popular Gabor Filter feature extraction technique and comprehensively compare its linear variant, Gabor-LDA with its nonlinear counterpart, Gabor-KLDA to ascertain which technique is better suited for FR tasks. The findings proffered by this work, along with our other studies, form a series intended to aid developers in making informed decisions while building proficient FR systems. (C) 2015 The Authrs. Published by Elsevier B.V.
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