• Monalisa Hati

The primary aim of pattern recognition is supervised and unsupervised classification, analysis of data. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been used in practice. More recently, neural network techniques and various methods imported from statistical learning concept have merited increasing attention. The design of a recognition system requires careful devotion to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples and performance evaluation. The general problem of recognising complex pattern with arbitrary patterns with random positioning, location and scale remains unsolved. Novel and emerging application, such as data mining, web searching, retrieval of multimedia data, face recognition and cursive handwriting recognition, require robust and effectual pattern recognition techniques. The objective of this review paper is to and review some of the eminent methods used in various stages of a pattern recognition system and recognize research topics and applications which are at the forefront of this stimulating and stimulating field.

machine learning, pattern recognition, security, neural network, classification

"Literature Review on the analysis of Pattern recognition along with Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.g113-g122, December-2022, Available :http://www.jetir.org/papers/JETIR2212620.pdf

"Literature Review on the analysis of Pattern recognition along with Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppg113-g122, December-2022, Available at : http://www.jetir.org/papers/JETIR2212620.pdf