Pattern Recognition Techniques:A Review

Abstract

Pattern recognition is simply the recognition of patterns in this digital words. That is the reason that Pattern Recognition has attracted the attention of researchers in last few decades as a machine learning approach due to its widespread application areas. The application of pattern recognition has been observed in many areas like medicine, communications, automations, military Intelligence, Data mining, bioinformatics, Document classification, speech recognition and many others. Here in this review paper, we present various approaches of Pattern Recognition and their pros-cons, application specificparadigm.According to researchers, pattern recognition techniques can be categorized into six parts. They are Statistical Techniques, Structural Techniques, Template Matching, Neural Network Approach, Fuzzy Model and Hybrid Models.