| Título: | Automatic age estimation by hand photos |
| Autores: | Lior Shamir; Lawrence Tech U. |
| Fecha: | 2011-04-04 |
| Publicador: | International Journal of Computer Science Letters |
| Fuente: |
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| Tipo: | |
| Tema: |
image analysis; biometrics; human-computer interaction; computer vision age; identification; hand Image analysis |
| Descripción: | Automatic estimation of the age of a person can be essential for effective interaction between humans and machines. Age estimation that is based on biometrics can determine the age of a person automatically, and therefore has the advantage of being more convenient for the user, as well as more resistant to deception compared to age estimation that is based on identification documentations. Here we show a concept of automatic age estimation using images of the back of the hand, which can provide an estimation of the age of a person, yet without compromising the privacy of the user by allowing trivial person identification. Experimental results show that the method can differentiate between older and younger individuals with accuracy of ~88%. |
| Idioma: | Inglés |