摘要
对基于Gabor小波变换的人脸特征提取方法进行了研究。对于预处理后的图像通过Gabor小波滤波器对人脸特征进行提取,获得特征向量来作为神经网络的输入值,最后应用人工神经网络实现人脸检测来检测算法有效性。实验结果表明,这种方法具有较高的识别率。
The method of facial feature extraction based on Gabor wavelets transform is discussed.First,the image was preprocessed.Then,feature vectors were extracted by Gabor wavelet transformation to form the input of neural networks.Last,using ANN to implement the face detection.Experimental results demonstrate that this method has higher recognition rate.
出处
《自动化与仪器仪表》
2011年第4期138-139,142,共3页
Automation & Instrumentation
