  In this paper, the identification and classification of Viewer Age Range
Smart Signs, designed by the Radio and Television Supreme Council of Turkey, to
give age range information for the TV viewers, are realized. Therefore, the
automatic detection at the broadcast will be possible, enabling the
manufacturing of TV receivers which are sensible to these signs. The most
important step at this process is the pattern recognition. Since the symbols
that must be identified are circular, various circle detection techniques can
be employed. In our study, first, two different circle segmentation methods for
still images are analyzed, their advantages and drawbacks are discussed. A
popular neural network structure called Multilayer Perceptron is employed for
the classification. Afterwards, the same procedures are carried out for
streaming video. All of the steps depicted above are realized on a standard PC.
