ASP Transactions on Pattern Recognition and Intelligent Systems 2022-02-09T17:37:15+08:00 Marley Vellasco Open Journal Systems <p><em><strong>The ASP Transactions on Pattern Recognition and Intelligent Systems </strong></em><strong>(TPRIS)</strong> publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern recognition. Areas such as techniques for visual search, document and handwriting analysis, medical image recognition, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.</p> Design and Matlab Simulation of Persian License Plate Recognition Using Neural Network and Image Filtering for Intelligent Transportation Systems 2022-02-09T15:47:08+08:00 Omid Akbarzadeh Mohammad R. Khosravi Linss T. Alex <p>Vehicles play a vital role in modern-day intelligent transportation systems (ITS). Plate characters provide a standard means of identification for any vehicle. To serve this purpose, an automatic license plate recognition system is studied. In this paper, we intend to create an optimized algorithm for implementing the scheme. Firstly, we undertake several challenging stages. The first step is introduced as the determination of plate location. Then, in the second phase, we apply an initial improvement to decline the likely noises using the Gaussian function to provide an appropriate filter for this target. Next, the rest of the project is organized as follows, finding the edge of images, enhancing modified pictures, and selecting the exact place of the plate. Afterward, tilting and plate rotation improvement and plate characters' extraction are considered two essential steps in this regard. Eventually, the final step of this project consists of several stages, such as employing a neural network to extract the plate characters automatically. &nbsp;&nbsp;</p> 2022-02-08T00:00:00+08:00 Copyright (c) 2022 ASP Transactions on Pattern Recognition and Intelligent Systems