Palm Print Recognition System: Discover the best accuracy technique used in PalmPrint Recognition System, based on Eigenpalms. PalmPrint recognition system intends to find the palmprint template present in the database, which is from the same palm as a given in the palmprint input. Feature extraction plays a crucial role in this recognition process. Through this project, we introduce a few things to the frequency domain i.e. a new feature extraction and representing PalmPrint features. These extracted features are used to index the PalmPrint templates in the database and search for the best match in a layered fashion. The experimental outcomes prove that this proposed FT (Fourier Transform) based feature extraction method is effective on our PalmPrint database in terms of accuracy and efficiency.