1. A method comprising: detecting and extracting face data corresponding to at least a first candidate face of a first image and a second candidate face of a second image, the first image is associated with a first light intensity and the second image is associated with a second light intensity that is different from the first light intensity; analyzing the face data to determine whether the first candidate face corresponds to a first area in the first image that is substantially the same as a second area of the second candidate face in the second image; evaluating, via a processor, data associated with the first and second areas to determine whether the first and second candidate faces are valid faces or invalid faces of at least one individual; determining that the first area and second areas are the same in an instance in which a location of the first area is within a predetermined threshold of a corresponding location of the second area, wherein the predetermined threshold is equal to zero when images with varying light intensities, provided by an image capturing device, are captured with no movement between the image capturing device, and the first and second candidate faces; in an instance when the first and second candidate faces are valid, enabling conversion of the extracted face data of the first and second images into one or more facial features to obtain corresponding images of the first and second candidate faces; normalizing the converted facial features to obtain at least one representation associated with an image of a face corresponding to a person; and analyzing data associated with the at least one representation and data uniquely identifying the person based upon the normalized converted facial features associated with the at least one representation to recognize the one or more corresponding faces.