Semnan University International Journal of Nonlinear Analysis and Applications 2008-6822 13 2 2022 07 01 Analysis of techniques and approaches to palm print: Review 887 898 6439 10.22075/ijnaa.2022.6439 EN Salam Jabbar Abdu-alKadhm Department of computer science, College of science, University of Diyala, Baqubah, Iraq Taha Mohammad Hasan Department of computer science, College of science, University of Diyala, Baqubah, Iraq Journal Article 2022 01 12 For over 15 years, palmprint identification technology has been developed and tested on a range of image resolutions (high and low). This study demonstrates the numerous varieties of palmprints and the difficulties associated with the palmprint recognition method. Furthermore, we go over the step-by-step process of developing a palmprint biometrics system, starting with image acquisition, preprocessing, feature extraction, and matching, as well as a summary of palmprint databases and their characterizations, as well as some palmprint recognition techniques and research works related to palmprint biometrics purposes. This paper focuses on comparing the types of systems in terms of deep learning, machine learning, and systems that require learning. https://ijnaa.semnan.ac.ir/article_6439_969aeed5dcc789b0db1de1897542bb3b.pdf