Computer vision, unlike humans, still has not fully acquired the ability to categorise a persons age group from an image of the persons face. Successful gender and age classification could be used to boot the performance of face recognition system. Fuzzy models have been used and analysed in this work to achieve the desired results. The concept of fuzzy lattice neural model is introduced and is applied to classify the age group of a person from the gray scale facial image. Next, the fuzzy equivalence relation model is constructed and is used to classify the age group of a person....
Computer vision, unlike humans, still has not fully acquired the ability to categorise a persons age group from an image of the persons face. Succe...