Age Estimation from Face Image Using Wrinkle Features
Ranjan Jana, Debaleena Datta, Rituparna Saha · Procedia Computer Science · 2015
Age progression is generally indicated by skin texture, face structure, skin color. The face features changes with age progression of a human. This paper provides a methodology to estimate the real age of a human by analyzing wrinkle area of face images. Wrinkle geography areas are detected and wrinkle features are extracted from face image. Depend on wrinkle features, each face image is clustered using fuzzy c-means clustering algorithm. Then, estimated age is calculated using their clustering membership value and average age of each cluster. The obtained results are significant and remarkable.