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ISSN 2063-5346
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Neural Network based English Alphabet Recognition at higher frequency of 60GHz

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Shilpakala.V.,G.F. Ali Ahammed, Reshma Banu
» doi: 10.48047/ecb/2023.12.si4.1424

Abstract

English Character recognition is the process by which a proposed system at higher order frequency recognises letters, figures, or symbols and converts them into a digital format that can be used by the modelled system at higher order frequency in terms of 60GHz. The present concept proposed here has gained the major focus by many research schoolers to analyze the pattern based application for the sake of different variety of applications including alphabets, numerical, handling of data at the higher order frequency.We discuss in full the being system for handwritten character recognition in this paper. The essential functional unit of ANN is to perform the basic multiplier operation, the use of ANN as an operation of multiplier for executable with the neuron exist in the network. The desired work is carried out in xlinix vivado platform by selecting the best possible weights and biases by considering the parameters such as the accuracy, recognition rate and time consumed for the proposed system in terms of milliseconds

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