Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
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-10,Issue-6. 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: :  Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks
PaperId: :  12876
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 5 2020
DUI:    16.0415/IJARIIE-12876
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mohammed Ilyas AhmedMalla Reddy Engineering College
Mohammed SamranMalla Reddy Engineering College
Mohammed Abdul ThousifMalla Reddy Engineering College
P V Ramana MurthyMalla Reddy Engineering College

Abstract

Computer Science and Engineering
Support Vector Classifier, Confusion Matrix, Accuracy Score, Classification Report, Data Analysis, Neural Networks.
Optical Character Recognition (OCR) is the method of classification of optical patterns contained in an exceedingly digital image. The character recognition is achieved through segmentation, feature extraction, and classification. one of all the foremost used tools for optical character recognition may well be a tesseract. During this project we try to create an alternate of tesseract which is our own model ready to} recognize different handwritten digits which don't seem to be printed but written manually and since tesseract is solely able to recognize printed digits, it'll be a valuable feature for several developers. We use the Support Vector Machine during this process. Support Vector Machine could also be a classification tool at home with recognizing handwritten digits. We also use a Neural network for Data analysis and classification of knowledge. In particular, handwritten digit recognition has been applied to acknowledge amounts written on checks for banks and zip codes on envelopes for postal services. The handwritten digit recognition system may be divided into four stages, Data acquisition, Pre-processing, Feature extraction and Classification. Support Vector Machines, within the machine learning theory, are used for classification and analysis. they've supervised learning models with associated learning algorithms that analyze data and recognize patterns. As per the requirement of the information into consideration, the Support Vector Machines are modeled to classify. Support Vector and naive Bayes, both don't require the maximum amount of computation power compared to deep learning which makes it possible for the developers to deploy the model natively instead of running it in a server container.

Citations

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

IJARIIE Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy. "Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 5 2020 Page 1421-1428
MLA Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy. "Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 6.5(2020) : 1421-1428.
APA Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, & P V Ramana Murthy. (2020). Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education, 6(5), 1421-1428.
Chicago Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy. "Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 5 (2020) : 1421-1428.
Oxford Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy. 'Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 5, 2020, p. 1421-1428. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Recognition_of_Handwritten_Digits_Using_Support_Vector_Machine_and_Neural_Networks_ijariie12876.pdf (Accessed : 04 December 2023).
Harvard Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy. (2020) 'Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, 6(5), pp. 1421-1428IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Recognition_of_Handwritten_Digits_Using_Support_Vector_Machine_and_Neural_Networks_ijariie12876.pdf (Accessed : 04 December 2023)
IEEE Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy, "Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 5, pp. 1421-1428, Sep-Oct 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/Recognition_of_Handwritten_Digits_Using_Support_Vector_Machine_and_Neural_Networks_ijariie12876.pdf [Accessed : 04 December 2023].
Turabian Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy. "Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 5 (04 December 2023).
Vancouver Mohammed Ilyas Ahmed, Mohammed Samran, Mohammed Abdul Thousif, and P V Ramana Murthy. Recognition of Handwritten Digits Using Support Vector Machine and Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 04 December 2023]; 6(5) : 1421-1428. Available from: https://ijariie.com/AdminUploadPdf/Recognition_of_Handwritten_Digits_Using_Support_Vector_Machine_and_Neural_Networks_ijariie12876.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 12/4/2023 10:47:46 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Development of Wireless Sensor Network Protocol using Fuzzy logic and Optimization Routing AlgorithmComputer ScienceMs.Dimpal Patel Download
GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental MonitoringComputer Science and EngineeringSowmya Shetty Download
SURVEY ON DETECTION OF PHISHING WEBSITE USING MACHINE LEARNINGComputer Science and EngineeringYawalkar Prasad Pramod Download
Enhancement of Health Data Accuracy Using Neural Network Algorithmneaural networkGautam Prakash Download
AI-BASED PLACEMENT PARTNER: ENHANCING CAREER PREPARATION THROUGH ADVANCED LEARNING TECHNOLOGIESComputer Science & EngineeringSaranya MK Download
ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEWComputer EngineeringPaleti Surekha Download
A Comparative Study of Maze-Solving Algorithms: Performance, Complexity, and Practical Applications in AI and RoboticsComputer EngineeringNakka Sai Magh Reddy Download
Encryption and Decryption WebsiteComputer Science and EngineeringGokul Kumar R Download
Digital BiomarkersComputer EngineeringHemakanth Sharma R Download
ENSURING FAIRNESS AND TRANSPARENCY IN AI SYSTEMS FOR HEALTHCARE AND CRIMINAL JUSTICE APPLICATIONSComputer EngineeringManu Gowda Download
Utilising AI for Deepfake Detection: Strategies, Issues and Future OpportunitiesArtificial intelligence Suhas LK Download
Cryptography-An OverviewComputer EngineeringPeram Bairaveswar Reddy Download
The Internet of Things (IoT) in Smart CitiesComputer engineeringRahul Malagitti Download
Cloud Computing - An OverviewComputer EngineeringHarshith Y Download
Operations of Artifical Intelligence in 5g NetworkingComputer Engineering Chethan K Download
12