Palmprint recognition is a technology that uses the unique composite texture information of the palm surface for automatic identification. In this chapter, first, the main research contents of touchless palmprint recognition are introduced. Second, the establishment of the CUHKSZ large-scale touchless palmprint dataset will be described in detail. Third, parameter optimization experiments are conducted on the CUHKSZ dataset to observe the scientific problems caused by the increase in data scale. Fourth, the experiment comparing the EER of the most used touchless palmprint recognition algorithms on the large-scale dataset will be performed to provide baselines for future research. Finally, the recognition performances of the three most widely used biometric modals, including palmprint, face, and fingerprint, will be compared on the CUHKSZ dataset, which can demonstrate the advantages of touchless palmprint recognition. In the end of this chapter, future research directions will be put forward.