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首页> 外文期刊>IOSR journal of electrical and electronics engineering >Adaptive Neuro Fuzzy Inference System for Facial Recognition
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Adaptive Neuro Fuzzy Inference System for Facial Recognition

机译:面部识别自适应神经模糊推理系统

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摘要

An image processing is an interesting topic to distinguish the human actions for overall life presentations. For instance, detecting the gesticulation of an individual when he or she is driving and warning him/her when he/she is in sleepy attitude will be fairly beneficial. Human motions can be recognized by detecting the dissimilar movements of iris, nose, mouth localization and pointers. In this research we are concentrating on the humanoid face for identifying appearance. Many practices are obtainable to distinguish face. In this paper, the main focus is given in the feature extraction approach and also the classification approach. The feature extraction is done by using principal component analysis and the classification is done by using Adaptive Neuro Fuzzy Inference System.
机译:图像处理是一个有趣的话题,以区分人类行为为整体生活演示。 例如,当他或她正在驾驶并警告他/她时,检测个人的手势,当他/她处于困倦的态度时会相当有益。 通过检测虹膜,鼻子,口腔定位和指针的异常运动可以识别人类运动。 在本研究中,我们专注于人形面部以识别出现。 可以获得许多实践来区分面部。 在本文中,主要重点在特征提取方法中给出,以及分类方法。 该特征提取是通过使用主成分分析来完成的,通过使用自适应神经模糊推理系统来完成分类。

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