Palmprint identification using Hausdorff distance

Palmprint-based personal identification is regarded as an effective method for automatically recognizing a person´s identity. In addition, it requires no special hardware except a normal digital camera. This paper presents a new approach to identify palmprint using Hausdorff distance. Line edge map (LEM) of palmprint is extracted as the feature used for identifying. This system employs low-resolution palmprint images to achieve effective personal identification. In contrast to the existing methods, our approach is robust to noise, occlusion, and skewing.