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Real time smart car lock security system using face detection and recognition

机译:使用面部检测和识别的实时智能车锁安全系统

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An improved face detection and recognition method based on information of skin color is proposed in this paper. Color is a powerful fundamental cue of human faces. Skin color detection is first performed on the input color image to reduce the computational complexity. Morphological operations are used and it gives a prior knowledge for face detection. Face is detected by Adaboost algorithm. AdaBoost learning is used to choose a small number of weak classifiers and to combine them into a strong classifier deciding whether an image is a face or not. Then, by using principal component analysis(PCA) algorithm, a specific face can be recognized by comparing the principal components of the current face to those of the known individuals in a facial database built in advance.
机译:提出了一种基于肤色信息的人脸检测与识别方法。颜色是人脸的有力基础提示。首先对输入的彩色图像执行肤色检测,以降低计算复杂度。使用了形态学操作,它为面部检测提供了先验知识。通过Adaboost算法检测面部。 AdaBoost学习用于选择少量的弱分类器,并将它们组合为强分类器,从而确定图像是否为人脸。然后,通过使用主成分分析(PCA)算法,可以通过将当前面部的主要成分与预先建立的面部数据库中的已知个体的主要成分进行比较来识别特定的面部。

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