Face recognition using a modified line segment hausdorff distance

The automatic recognition of human faces presents a significant challenge to the pattern recognition research community. Typically, human faces are very similar in structure with minor differences from person to person. Furthermore, lighting condition changes, facial expressions, and pose variations further complicate the face recognition task as one of the difficult problems in pattern analysis. In this paper, we proposed a modified line segment hausdorff distance measure for face recognition. The distance measure is weighted according to a weight function derived from the spatial information of the human face. This distance measure, namely Spatially Weighted Line Hausdorff Distance (SWLHD), is further improved by limit the line pairs in a given neighborhood. Experiment showed encouraging result and the results also implicate that line segments could provide sufficient information for face recognition.