Robust person identification with face and iris by modified PUM method
Jie Lin, Jianping Li, Hui Lin, Ji Ming · 2009
In previous works, we have applied the modified PUM method in face recognition and demonstrated the effectiveness of this method for deal with partial occlusion and distortion. Based on the similitude between the face features and iris features, this paper proposes a new method for person recognition by the combining of iris and face. This new method combines the iris and face features as a new feature for representing persons and then acts the modified PUM on the new features for recognition. Generally, the iris features, however, is more reliable than the face features. Hence the iris feature should be given a higher weight. For this, this paper further improves the method to form a better strategy for combining the face and iris on recognition. The new improved approach has been evaluated on combined-face and iris databases, using face testing images subjected to various types of partial distortion and occlusion. The new system has demonstrated improved performance over other systems.