Character Recognition using Support Vector Classifier (SVC)

Sakshi Panwar , Koyal Agrawal , Nipun Aggarwal , Dr. Mukesh Rawat

SVC, Segmentation, Regression, preprocessing

In this paper, the clustering Algorithm known as Support Vector Classifier(SVC) is used. SVC offers classifiers such as logistic regression and decision trees that provide very high accuracy compared to others. The model first preprocesses the input after that extracts the required details then it classifies the details and finally detection. SVC presents a workload that is data intensive and compute. To reduce the workload the model trained offline, achieving 97.95% top-1 accuracy. And it also segmentation and preprocessing is also used to minimize input image size fed into SVM

Published Paper   E-Certificate

"Character Recognition using Support Vector Classifier (SVC)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 8, page no.1 - 5, August-2021, Available :https://ijsdr.org/papers/IJSDR2108001.pdf

Volume 6 Issue 8, August-2021

Pages : 1 - 5

Paper Reg. ID: IJSDR_193574

Published Paper Id: IJSDR2108001

Downloads: 000347195

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2108001

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2108001

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition