Progress in Image Processing, Pattern Recognition and Communication Systems

This book presents a collection of high-quality research papers accepted to multi-conference consisting of International Conference on Image Processing and Communications (IP&C 2021), International Conference on Computer Recognition Systems (CORES 2021), International Conference on Advanced Computer Systems (ACS 2021) held jointly in Bydgoszcz, Poland (virtually), in June 2021. The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results. The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems. Machine learning solutions for security and networks are tackled in part four of the book, while the last part collects papers on progress in advanced computer systems. We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications.

Presents a collection of high-quality research papers Addresses computer system-related technological challenges Presents different application areas of pattern recognition

Inhalt
Building an Ensemble of Classiers via Randomized Models of Ensemble Members.- Hybrid learning model for syntactic pattern recognition.- Distance Metrics in Clustering and Weighted Scoring Algorithm.- Exploration of Hardware Acceleration Methods for an XNOR Trac Signs Classier.- ALEA: An Anonymous Leader Election Algorithm for Synchronous Distributed Systems.- Comparing concepts of quantum and classical neural network models for image classication task.- Can Color Cryptography Be Truly Random?.- Description-based Ranking of Visual Instances: Feasibility Study for Keypoints.- Fuzzy system for lip print identication.- Assessment of correlations between age and textural features of CT images of thoracic vertebrae.- Assessment of correlations between age and textural features of CT images of thoracic vertebrae.- Application of Image Entropy Analysis for the Quality Assessment of Stitched Images.