Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9891
Title: | Digits Recognition System using Machine Learning |
Authors: | Sharma, Samarth Sharma, Rohit Prateek [Guided by] |
Keywords: | Digits recognition Machine learning Artificial neural network Python Image |
Issue Date: | 2023 |
Publisher: | Jaypee University of Information Technology, Solan, H.P. |
Abstract: | The 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%. |
Description: | Enrolment No. 191365, 191403 |
URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9891 |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Digits Recognition System using Machine Learning.pdf | 1.13 MB | Adobe PDF | View/Open |
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