Indonesian Journal of Electrical Engineering and Computer Science Vol. 24, No. 2, November 2021, pp. 1149~1160 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v24.i2.pp1149-1160  1149 Journal homepage: http://ijeecs.iaescore.com User identification system for inked fingerprint pattern based on central moments Esraa Jaffar Baker 1 , Sundos Abdulameer Alazawi 2 , Nada Thanoon Ahmed 3 , Mohd Arfian Ismail 4 , Rohayanti Hassan 5 , Shahliza Abd Halim 6 , Tole Sutikno 7 1,2,3 Department of Computer Science, Collage Science, Mustansiriyah University, Baghdad, Iraq 4 Faculty of Computing, College of Computing and Applied Sciences, Universiti Malaysia Pahang, Pahang, Malaysia 5,6 School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia 7 Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia Article Info ABSTRACT Article historys: Received May 13, 2021 Revised Sep 5, 2021 Accepted Sep 11, 2021 The use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint recognition that can be used in several cases of fingerprint such as being rounded at an angle by a randomly inked fingerprint on paper. So, fingerprint image is tooked at a different angle in order to identify the owner of the ink fingerprint. This method involves two working levels. The first one, the fingerprint pattern's shape features are calculated based on the central moments of each image being listed on a regular basis with three states rotation. Each image is rotated at a specified angle. In the second level, the fingerprint holder entered is identified using the previously extracted shape features and compared to the three local databases content of three rotation states. When applied the method for several persons by taken their inked fingerprint on the paper, the accuracy of the system in identifying the owner of the fingerprint after rotation states were close to 83.71. Keywords: Fingerprint recognition Inked fingerprint Licensing system Security application Shape features This is an open access article under the CC BY-SA license. Corresponding Author: Sundos Abdulameer Alazawi Department of Computer Science Mustansiriyah University, Baghad, Iraq Email: ss.aa.cs@uomustansiriyah.edu.iq 1. INTRODUCTION Fingerprint recognition is one of the oldest and most important research areas in the field of pattern recognition. One of the basic problems in the design of an imagery pattern identification system is the selection of a set of the suitable numerical characteristic that is extracted from the object for the target of identification and classification [1]–[10]. Simple characteristic of the image which is found through of image moments includes any area the higher-order, the moments give more detailed shape features of the objects such as symmetry [11]–[17]. Geometrical moments current a low computational cost but are highly susceptible to the noise [18], [19]. Moreover, rebuilding is extremely difficult although not invariant under rotation. Chaorong et al. [20] and Xiao et al. [21] work on the transformation of normalization for central moments to produce the performing moments invariant. Arnia et al. [22] have used the moments for character recognition and the mathematical concept of moments. Related invariants have been analyzed extensively to characterize the patterns in images in a variety of applications, such as fingerprint identification and recognition. The moments have been used in many applications from mechanism and