Enhanced Efficiency Using Pattern Recognition System
Journal: International Journal of Technology Enhancements and Emerging Engineering Research (IJTEEE) (Vol.1, No. 4)Publication Date: 2013-11-25
Authors : Nikita Chhillar; Nisha Yadav; Neha Jaiswal;
Page : 119-122
Keywords : KEYWORDS Pattern Recognition; correlation; Neural Network;
Abstract
ABSTRACT A pattern is an entity imprecisely described that could be given a name fingerprint image handwritten word human face speech signal DNA sequence etc. Pattern recognition is the allocation of a label to a given input value. Pattern recognition algorithms usually intend to supply a logical answer for all probable inputs and to perform most likely and identical matching of the inputs taking into account their statistical discrepancy. Pattern recognition is becoming ever more significant in the era of automation and information handling and retrieval. In order to categorize a set of objects and afterward on to identify a fresh or an already known one one needs to gather examine store and process data in a significant way. Among the different conventional approaches of pattern recognition the statistical approach has been most thoroughly studied and used in practice. More recently the addition of artificial neural network techniques theory have been receiving important considerations.
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