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Real-Time Face Detection Method Using Wavelet-Based for a Beautification System

机译:基于小波的美化系统实时人脸检测方法

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In recently, the face detection is an emerging computer technology. It is a biometric identification that distinguishes organisms from the biological characteristics (fingerprints, palm prints, irises, etc.) of organisms (mainly humans). A real-time face detection and improve the accuracy of detection is present. We use several algorithms to identify faces will be written and we will explore the detection accuracy of the program. It uses a Haar wavelet transform to improve the beautification system to achieve real-time processing, and it adopts the face feature detection method to increase the accuracy ratio. As result, that show the verified on a captured images under several real indoor environments.
机译:近来,面部检测是新兴的计算机技术。这是一种生物特征识别,可将生物与生物体(主要是人类)的生物特征(指纹,掌纹,虹膜等)区分开。存在实时面部检测并提高检测精度。我们使用几种算法来识别将要写入的面部,并且我们将探索该程序的检测准确性。它采用Haar小波变换改进美化系统以实现实时处理,并采用人脸特征检测方法提高准确率。结果,它显示了在几个实际室内环境下对捕获的图像进行验证的结果。

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