Forensic facial reconstruction accurate reconstruction possible is largely limited. A second problem is the lack of a methodological standardization in approximating facial features. A single, official method for reconstructing the face has yet to be recognized. This also presents major setback in facial approximation because facial features like the eyes and nose and individuating characteristics like hairstyle - the features most likely to be recalled by witnesses - lack a standard way of being reconstructed. Recent research on computer-assisted methods, which take advantage of digital image processing, pattern recognition, promises to overcome current limitations in facial reconstruction and linkage. Reconstructions only reveal the
Facial recognition system the face data. One of the earliest successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation. Recognition algorithms can be divided into two main approaches, geometric, which looks at distinguishing features, or photometric, which is a statistical approach that distills an image into values and compares the values with templates to eliminate variances. Some classify these algorithms into two broad categories: holistic and feature-based models. The former attempts to recognize the face in its entirety while the feature-based subdivide into components such as according to features