A New Algorithm for Age Group Recognition from Frontal Face Image

This paper presented a new algorithm to distinguish the age group from the frontal face image. This algorithm classifies topics into four different age categories at four major stages. Preprocessing, facial feature extraction by new projection method, facial feature analysis, and age classification. In order to apply the algorithm to this problem, a facial image database that focuses on the age information of a person is necessary. Since there is no such database, I created a database called Iranian Face Database (IFDB) for this purpose.

Face recognition algorithms can be categorized into image based face recognition algorithms and video based face recognition algorithms. Both types can use some common algorithms to perform face recognition processes. This algorithm is used for image-based face recognition principal component analysis (PCA), independent component analysis (ICA), Bayesian framework, and so on. On the other hand, video-based face recognition algorithms include principal component analysis (PCA), linear discriminant analysis (LDA), 2D Fisher face algorithm, and the like.

This paper presented a new algorithm to distinguish the age group from the frontal face image. This algorithm classifies topics into four different age categories at four major stages. Preprocessing, facial feature extraction by new projection method, facial feature analysis, and age classification. In order to apply the algorithm to this problem, a facial image database that focuses on the age information of a person is necessary. - 1 Introduction With the rapid development of computer science, the Internet is increasing in popularity because it can easily share images, videos, documents and so on. However, this convenience comes from the cost of information security. For these and many other reasons, digital image watermarks have become an adequate solution to these situations.

The face recognition system has two components, an algorithm and a database. This algorithm is a computer program that takes an image of a face and breaks it into a series of landmarks and scale patterns, such as the distance between the centers of the eyes. The process of converting unique biological properties into quantifiable data is called biometrics. Face data points, like fingerprints together, create a unique "face print" for everyone. Some faces are described as free-story books; people can "read" at a glance. Face recognition technology words this metaphor. Kevin Haskins, business development manager for face recognition company Cognitec, says: .