Extraction of useful information from a huge volume of data is an active area of research. In this, we have considered a new problem in which we need to extract a set of predefined attribute values from an image pool, where the images in the image pool may belong to a particular person. The objective of this research is to process a set of images of a person to identify the values for various attributes such as age, gender, marital status, hobbies, physical attributes, etc. The major challenge in the proposed scheme is to identify the key face after face extraction from the image pool. The key face image will be the image that will repeat more times and there is a high probability that the image pool belongs to that person. We have used a set of state-of-the-art approaches to identify the attribute values such as age, gender, etc. from the key face image. The ground truth data are collected from them before the validation of the proposed scheme.