Detection and recognizing of objects using k-means clustering algorithm and faster r-cnn

With the growth of computer vision, digital image processing is necessary to provide a clear image to the user. In existing technique only improve detect the main components of an images of FERET data sets of different versions but In proposed research we are try to improve the detection of main components of an image and recognize it and also try to improve the accuracy and transparency of the various images of different versions.