Individual Age Judgement by Gabor and Fuzzy K-Means

In this Research, a new automatic age detector work is anticipated. A single image is required as participation for the subject of attention to guesstimate his age. The framework is collected of three main modules: 1) the face detection module; 2) the enhancement module; and 3) the classification module. The face detection module comprises the main blocks of image depiction and learning for age estimation. For age image representation, a technique named adaboost which is modification of viola Jones algorithm is used. In classification module unsupervised classification technique is used. K means algorithm is used which classified the features obtained from the Gabor filters of 4 scales and 6 directions. In the enhancement module of the proposed framework, facial regions that are keys for age estimation are identified through a more detailed analysis. Finally, a human age estimation application is built by utilizing the FG-net database.