This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighour based classifiers, current topics - neural networks, support vector machines and decision trees - attributed to the recent vast progress in this field are also dealt with. Pattern Recognition: An Algorithmic Approach will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.