Generating accurately age-progressed images has appli cation in improving the robustness of f ace-based biometrics, aiding human law enforcement, and serving other appli cations. There has been a growing interest in this topic, but age-progression techniques and particularly means to evaluate their effectiveness quantitatively are still under developed. This paper presents work in establishing a stan dard dataset over which techniques may be evaluated as well as some initial evaluation work.Firstly, a photo graphic test set that has several representative images of the same individuals across many years has been assembled in an effort to provide a comparison standard. By using pho tos of an individual at a younger age when the matching photos of that person at an older age are available, age progression methods may be quantitatively compared. Sec ondly, several initial variations of age-progression methods are compared over this dataset.

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