Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS
PaperId: :  9211
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 5 2018
DUI:    16.0415/IJARIIE-9211
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Karthik SSRMIST
Vaibhav SharmaSRMIST

Abstract

Electronics and Communication engineering , Computer Science engineering
Machine learning, Digital image processing, Convolution neural networks, Artificial intelligence
This project is aimed at clarifying the role of Number Recognition in accordance with today's maturing technologies. Most people effortlessly recognize those digits as 504192. That ease is deceptive. In each hemisphere of our brain, humans have a primary visual cortex, also known as V1, containing 140 million neurons, with tens of billions of connections between them. And yet human vision involves not just V1, but an entire series of visual cortices - V2, V3, V4, and V5 - doing progressively more complex image processing. Neural networks approach the problem in a different way. The idea is to take a large number of handwritten digits, known as training examples, and then develop a system which can learn from those training examples. In other words, the neural network uses the examples to automatically infer rules for recognizing handwritten digits. It tries to list and clarify the components that build number recognition and related technologies such as OCR (Optical Character Recognition) and Image Recognition using machine learning. Images of digits were taken from a variety of sources, normalized in size and centered. This makes it an excellent dataset for evaluating models, allowing the developer to focus on the machine learning with very little data cleaning or preparation required. Results are reported using prediction error, which is nothing more than the inverted classification accuracy. It also has diversified applications in multiple fields such as in automatic number plate recognition and has security applications. It can also be used in archaeological surveys where digitization of archaic handwritten characters needs to be stored in a database. This technique offers an offline machine learning based algorithm to do the same.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Karthik S, and Vaibhav Sharma. "NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 5 2018 Page 933-943
MLA Karthik S, and Vaibhav Sharma. "NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 4.5(2018) : 933-943.
APA Karthik S, & Vaibhav Sharma. (2018). NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education, 4(5), 933-943.
Chicago Karthik S, and Vaibhav Sharma. "NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 5 (2018) : 933-943.
Oxford Karthik S, and Vaibhav Sharma. 'NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 5, 2018, p. 933-943. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/NUMBER_RECOGNITION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie9211.pdf (Accessed : 16 August 2020).
Harvard Karthik S, and Vaibhav Sharma. (2018) 'NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, 4(5), pp. 933-943IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/NUMBER_RECOGNITION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie9211.pdf (Accessed : 16 August 2020)
IEEE Karthik S, and Vaibhav Sharma, "NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 5, pp. 933-943, Sep-Oct 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/NUMBER_RECOGNITION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie9211.pdf [Accessed : 16 August 2020].
Turabian Karthik S, and Vaibhav Sharma. "NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 5 (16 August 2020).
Vancouver Karthik S, and Vaibhav Sharma. NUMBER RECOGNITION USING CONVOLUTION NEURAL NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 16 August 2020]; 4(5) : 933-943. Available from: http://ijariie.com/AdminUploadPdf/NUMBER_RECOGNITION_USING_CONVOLUTION_NEURAL_NETWORKS_ijariie9211.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 8/16/2020 12:26:42 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)Computer scienceBhumika Sahu Download
Diffie Hellman Key Exchange Algorithm with Man in the middle attack (MITM)Computer Science EngineeringMahesh Purushottam Gajbhiye Download
AN IMPROVED ATTRIBUTE BASED ACCESS CONTROL IN PERSONAL HEALTH RECORDS USING CLOUD WITH CONSTANT CIPHERTEXT LENGTHScience and TechBitrus Isahaka Dzarma Download
Driver Drowsiness Detection System By Measuring EAR and MARComputer Engineering Zoya Fatema Khan Download
Cloud-Based File Storage and Sharing Web ApplicationComputer Science & EngineeringMohammed Aadil Download
STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEMComputer Science and Engineering Urvashi Suresh Waghmare Download
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
12