Construction of robust features for detection and classification of objects without characteristic brightness contrasts

The paper describes a new class of feature for object detection and classification in images. These features are shown to be robust to significant illumination changes. The performance of the proposed method is studied on the modified Viola-Jones algorithm as applied to vehicle axle detection and embossed number recognition tasks.