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.
Reference :
-
- J. O’Rourke and G. T. Toussaint, “Pattern recognition,” in Handbook of Discrete and Computational Geometry, Third Edition, 2017.
- Introduction to Pattern Recognition. 2010.
- R. M. Golden, “Statistical Pattern Recognition,” in International Encyclopedia of the Social & Behavioral Sciences: Second Edition, 2015.
- S. Asht et al., “Pattern Recognition Techniques: A Review,” J. Chem. Inf. Model., 2013.
- M. Shridhar and P. Watta, “Pattern recognition,” in Machine Vision Handbook, 2012.
- B. J. Frey, “Pattern Classification,” in Graphical Models for Machine Learning and Digital Communication, 2018.
- G. Dougherty and G. Dougherty, “Statistical Pattern Recognition,” in Pattern Recognition and Classification, 2013, pp. 43–74.
- ] A. Meyer-Baese and V. Schmid, “Statistical and Syntactic Pattern Recognition,” in Pattern Recognition and Signal Analysis in Medical Imaging, 2014, pp. 151–196.
- B. D. Ripley, Pattern recognition and neural networks. 2014.
- T. Lu and T. H. Chao, Advances in pattern recognition research. 2018.
- Vishal Jain, Dr. S. V. A. V. Prasad, “Ontology Based Information Retrieval Model in Semantic Web: A Review”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), Volume 4, Issue 8, August 2014, page no. 837 to 842 having ISSN No. 2277- 128X.
- Vishal Jain, Dr. S. V. A. V. Prasad, “Role of Ontology with Multi-Agent System in Cloud Computing”, International Journal of Sciences: Basic and Applied Research (IJSBAR), Jordan, Volume 15, No. 2, page no. 41 - 46, having ISSN No. 2307-4531.
- Vishal Jain, Gagandeep Singh Narula, "Improving Statistical Multimedia Information Retrieval (MIR) Model by using Ontology and Various Information Retrieval (IR) Approaches", International Journal of Computer Applications 94(2):27-30, May 2014 having ISSN No. 0975-8887
- R.Santhya , S.Latha , Prof.S.Balamurugan , S.Charanyaa“ Investigations on Methods Developed for Effective Discovery of Functional Dependencies,”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.3, Issue 2, February 2015,
- T.Kowshiga, T.Saranya , T.Jayasudha , Prof.M.Sowmiya and Prof.S.Balamurugan“ Developing a Blueprint for Preserving Privacy of Electronic Health Records using Categorical Attributes,”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.3, Issue 2, February 2015.
- P. Lavanya, R. Meena, R. Vijayalakshmi, Prof. M. Sowmiya, Prof. S. Balamurugan , “ A Novel Object Oriented Perspective Design for Automated BookBank Management System”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.3, Issue 2, February 2015.