Pattern recognition is a fundamental aspect of artificial intelligence that has versatile applications in diverse fields. It involves identifying regularities in data and extracting meaningful information to make predictions or decisions. In computer vision, pattern recognition enables systems to recognize objects, faces, gestures, and scenes, powering applications like image classification, object detection, and facial recognition. In natural language processing, it facilitates tasks such as speech recognition, text classification, and sentiment analysis, enhancing human-computer interaction and enabling language understanding. Pattern recognition also plays a crucial role in bioinformatics, where it aids in DNA sequence analysis, protein structure prediction, and medical image analysis, contributing to advancements in healthcare and biotechnology. Moreover, it is integral to cybersecurity, where it detects anomalies, identifies malicious activities, and enhances threat detection mechanisms. This book aims to shed light on some of the unexplored aspects of pattern recognition and the recent researches in this field. The objective of this book is to give a general view of the different areas of pattern recognition and its applications. It will serve as an excellent guide for all readers who are interested in this field of study to develop a comprehensive understanding on pattern recognition.