Dedicated to the advancement of intelligent systems, Pattern Recognition publishes cutting-edge research on computational methods for pattern analysis, image processing, and artificial intelligence. This journal is a core resource for researchers and practitioners seeking to understand and implement the latest algorithms and techniques.
Pattern Recognition covers a broad range of topics, including statistical pattern recognition, structural and syntactical pattern recognition, neural networks, machine learning, computer vision, image analysis, and applications in diverse fields such as biometrics, medical imaging, and remote sensing. The journal welcomes original research articles, reviews, and special issues that contribute to the theoretical and practical aspects of pattern recognition. Indexed in databases such as Web of Science and Scopus, Pattern Recognition is a leading forum for the dissemination of novel ideas and innovative solutions in the field.
Submissions are encouraged that address emerging challenges and push the boundaries of pattern recognition, fostering advancements that have a tangible impact on real-world applications.