Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9891
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dc.contributor.authorSharma, Samarth-
dc.contributor.authorSharma, Rohit-
dc.contributor.authorPrateek [Guided by]-
dc.date.accessioned2023-09-08T11:50:22Z-
dc.date.available2023-09-08T11:50:22Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9891-
dc.descriptionEnrolment No. 191365, 191403en_US
dc.description.abstractThe digit recognition is one of the most important issues in the field of pattern recognition applications. The digit recognition system has various applications and can be used in various advanced projects as a prerequisite. The digit recognition system can be used to process the bank cheques, data entry forms and for postal mail sorting purposes. The purpose of this project is to develop a machine learning model in order to predict the digit and we also want to develop an application using Tkinter so that a user can use the application to get the output for his digit. We have used the CNN model for the purpose of prediction of digits. In this project, we have developed a model and an application that can work offline or predict the digits offline with a good efficiency. In this project, we have tried to increase the accuracy of our model at every stage and we have achieved a final accuracy greater than 98%.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectDigits recognitionen_US
dc.subjectMachine learningen_US
dc.subjectArtificial neural networken_US
dc.subjectPython Imageen_US
dc.titleDigits Recognition System using Machine Learningen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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