FACE AUTHENTICATION /RECOGNITION SYSTEM FOR FORENSIC APPLICATION USING SKETCH BASED ON THE SIFT FEATURES APPROACH
Poonam A. Katre · 2014
Faces are highly deformable objects which may easily change their appearance over time. Not all faces areas are subject to the same variability. The SIFT approach in the context of face authentication. Several pattern recognition and classification techniques have been applied to the biometrics domain. Among them, an interesting technique is the scale invariant feature transform (sift), originally devised for object recognition. The SIFT (scale invariant feature transform) is used for extracting local features. The recognition proceeds by matching individual features to a database of features from known objects. However, the proposed algorithm is generic and is not tied up to specific features. An advantage of the proposed algorithm is that it does not impose any restrictions on the location of features. They can be extracted from any point on the face and need not be ordered. It is concerned with the problem of correctly identifying face images and assigning them to persons in a database. This paper proposes using SIFT features for the recognition process. The new technique is compared with well-established face recognition algorithms.