en 5-Antenna Antenna Only For Articles of ELECRiS 2024 Only For Articles of ELECRiS 2024 <span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">GPR (Ground Penetrating Radar) is well-known as an effective non-invasive imaging approach for shallow nature underground discovery, like finding and locating submerged objects. Although GPR has achieved some success, it is difficult to automatically process GPR images because human experts must interpret GPR images of buried objects. This can happen due to the possibility of a variety of mediums or underground noises from the environment, especially rocks and roots of trees. Thus, detecting hyperbolic echo characteristics is critical. As a result, Viola Jones detection is used to determine whether the presence of a hyperbolic signature underground indicates a pipe or not. GPR can also be used in the public works department because it is a non-destructive tool. Workers, for example, should be aware of the pipe size that must be replaced when it leaks. The original GPR image already shows hyperbolic image distortion due to pipe refraction. The current method is unreliable due to its lack of flexibility. As a result, there is another method for resolving this issue. Thus, the image will be pre-processed to eliminate or reduce background noise in the GPR input image. The results of this project demonstrate that the Viola Jones algorithm can accurately detect hyperbolic patterns in GPR images.</span></span> ground penetrating radar (GPR), image pre-processing, hyperbolic detection, Viola Jones. 99 106 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5491-1&slc_lang=en&sid=1 Nurul Syahirah Mohd Ideris syahirahideris@studentmail.unimap.edu.my 1800319475328460016485 1800319475328460016485 No Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Hasimah Ali hasimahali@unimap.edu.my 1800319475328460016486 1800319475328460016486 Yes Centre of Excellence for Intelligent Robotics and Autonomous Systems (CIRAS), Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia Mohd Shuhanaz Zanar Azalan shuhanaz@unimap.edu.my 1800319475328460016487 1800319475328460016487 No Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia Tengku Sarah Tengku Amran sarah@nm.gov.my 1800319475328460016488 1800319475328460016488 No Department of Agensi Nuklear Malaysia, Bangi Selangor, Malaysia