Human identification method with palm printing based on local dual system

Palm recognition is one of the research areas is considered in recent years. In this thesis, we introduce a new method for human palmprint identification system with local binary pattern. First, the palm images is preprocessed with morphological technics. Then the feature extraction is applied for images. We used local binary pattern (LBP) for desired features. This approach is tested for 500 people and there are 1, 2, 3 and 4 image from each people. Our method is compared with PCA method. The result shows that proposed method is efficiency and good performance (%92) for palmprint recognition