Abstract
The technique of identifying patterns with the aid of a machine learning system is called pattern recognition. The classification of data based on previously acquired knowledge or on statistical data extrapolated from patterns and/or their representation is known as pattern recognition. Pattern recognition is such pattern where we scale some object and it is a technique critical in many areas, including surveillance cameras, access control systems, biometric data, interactive game apps, human computer interaction. Through this article, we explain the application of a multi-pattern recognition framework in various steps and used the classification framework to identify the object intensity using machine learning. Our study is also based on some parameters where we examine the results between recognition system and ML technique. We conclude a proposed system for the implementation of pattern recognition system and this work is also useful for 3D image preprocessing as well as artificial neural networks to improve the system's recognition rate.
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Joshi, K., Poddar, A., Kumar, V., Kumar, J., Umang, S., Saxena, P. (2023). Development of Classification Framework Using Machine Learning and Pattern Recognition System. In: Rathore, V.S., Tavares, J.M.R.S., Piuri, V., Surendiran, B. (eds) Emerging Trends in Expert Applications and Security. ICE-TEAS 2023. Lecture Notes in Networks and Systems, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-99-1909-3_18
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DOI: https://doi.org/10.1007/978-981-99-1909-3_18
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