Date of Publication :9th February 2018

Abstract: Pattern recognition is the section of machine learning that helps a computer to identify a defined sequence "pattern" or "frequency" in the information. There is a need to instruct the machine to do, i.e. instruct the machine by marking the information.Owing to the wide-spread domain fields, Pattern Recognition has drawn investigators interest over the last few years as a machine learning method.The field of application covers healthcare, telecommunications, custom functions, counterintelligence, information extraction, genomics, authentication of records, acknowledgment of voice, industry and many others.Detection of patterns is a tough issue for software, while it is connected to humans. In the age of technology and data processing and processing, pattern recognition becomes ever more essential. The paper gives a comprehensive overview on numerous strategies of Pattern Recognition along with its advantages and disadvantages and application-specific paradigm. The paper also talks about the different application fields of pattern recognition followed by its challenges.

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