Region of interest extraction for palmprint and palm vein recognition

Sen Lin, Tianyang Xu, Xinyong Yin

Abstract: The ROI (region of interest) extraction is the key step in palmprint or palm vein recognition, which is very important for the subsequent feature extraction and recognition. In this paper, the ROI extraction method for palmprint and palm vein recognition is mainly studied. Firstly, the preprocessing operation of palmprint and palm vein is carried out by using binary and morphological denoising technology, then the ROI regions are located and extracted based on the maximum inscribed circle and centroid methods. Finally, the algorithms are tested on PUT palm vein database and CASIA database, the experimental results show that the methods of this paper have a good effect, which are feasibility and validity. Furthermore, an online ROI extraction simulation system is designed in this article. The palmprint or palm vein image can be obtained in real-time by using the camera through the system, then the ROI can be extracted. The simulation system is intuitive and easy to operate, which provides a reliable experimental platform for the study of palmprint and palm vein recognition technology.