Estimating the age of human by analyzing the facial image using image-processing and fuzzy logic techniques have
lots of potential real-world application, such as human-computer interaction and multimedia communication. Several face
detection methods are developed to track a human face in a motion scene. Edges can be recognized using fuzzy logic methods.
The amount of data and filtering of unwanted or insignificant information are reduced significantly by edge detection and gives
significant information in an image. An efficient algorithm is developed to detect edges of an image for recognizing age of
human by using fuzzy logic. The system is achieved and simulated in Matlab and its performance is tested on real images.