face-recognising-techniques.jpgUS researchers have developed the technique, which have applications in areas like, face recognition security systems, age-progression software to identify missing children, and devices that determine whether a person is old enough to buy alcohol or cigarettes. As people age, the muscles in their eyes naturally weaken, making it difficult for the eyes to dilate in response to changing light conditions. And the dilation response goes down by a predictable number say, one millimeter for every decade a person is alive, enabling to discover the age of a person
approximately. Though eyes don’t grow with age, the distance between them does grow. Based on this information, Andrew Gallagher, a senior research scientist at Eastman Kodak developed a software that discovers the red-eye in an image and then, based on the distance between the eyes and how much the eye dilates, estimates the age of the subject. Currently the software can categorise a person into general age groups such as baby, child, teenager and adult.