文章基本信息

标题：New Optimization Technique to Extract Facial Features
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作者：Erwin ; Saparudin ; Muhammad Fachrurrozi 等
期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2018
卷号：45
期号：4
页码：523-530
出版社：IAENG - International Association of Engineers
摘要：The improved harmony search algorithm (IHSA),harmony search algorithm (HSA) and genetic algorithm (GA)are applied to extract facial features based on edges in thehorizontal direction. The study used 100 images from 20different faces from the California Institute of Technologydataset. The results show that IHSA is better in terms ofaccuracy and speed compared to HSA and GA, with averageaccuracy of 77.055% in an average time of 0.077 secondscompared to HSA at 75.176% in an average of 0.105 seconds andGA at 74.931% in an average of 3.627 seconds.
关键词：facial;feature extraction; genetic algorithm;harmony search algorithm; improved harmony search;algorithm