Face Sketch Recognition System to Support Security Investigation

Authors:
Setiawan Hadi,
Iping Supriana Suwardi,
Farid Wazdi

Summary:
The three ideas behind component based face feature detection First, some object classes can be described well by a few characteristic object parts and theirgeometrical relation. Second, the patterns of some object parts might vary less under pose changes than the pattern belonging to the whole object. Third, a component based approach might be more robust against partial occlusions than a global approach. The method is performed in two stages. On the first stage, component classifiers independently detect components of the face. In the example shown these components are the eyes, the nose and the mouth. On the second stage, the geometrical configuration classifier performs the final face sketch detection by linearly combining the results of the component classifiers. Then SVMs are used to classify the faces based on the components in the sketch.

Discussion:
The interesting idea here is to divide the face into component features and compare them with features of the sketch which is kind of finding the middle ground between photos and the sketches.