运用了图像进行光照校正，人脸图像进行降维及不同的光照条件下的人脸图像运用改进型的BP神经网络对进行识别。
Use the image illumination correction, reduce the dimension of face images and different lighting conditions, the use of human face images improved the BP neural network for recognition.
针对复杂背景及不同光照条件下的车牌图像，提出了一种基于RG B色度空间的车牌定位及校正的新方法，建立了基于RG B色度空间的牌照检测模型。
A new approach is presented for vehicle license plate location and rectification based on RGB chroma space in the complicated-background and different illumination images.
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