Clasificador de edad en imágenes digitales usando métodos estadísticos

The automatic age estimation has considerable applications in areas such as marketing, for example, while generating and displaying specific content for some age group, and in computing security, where protecting minors from contents not suitable for their age would be allowed. The general objective of this work is to show the methodology developed to generate a classifier system based on appearance, using representation models: analysis of main components and a linear discriminant analysis; and to present the results so obtained on the FG-Net and IMDB-Wiki images basis, with which were classified into two groups; major (+18) and minor (-18) of age, where up to an 89% of effectiveness was obtained.