|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | Image Processing using Machine Learning |
| Authors Name: | Rahul Garg , Pranjal Pathak , Abhinav Trivedi , Aman Raj , Priyanka Paygude |
| Unique Id: | IJSDR2009078 |
| Published In: | Volume 5 Issue 9, September-2020 |
| Abstract: | The paper basically describes the anomaly of demonstrating the mathematical methods and the algorithm required for their recognition. The use of handwritten mathematical symbols and equations has guard a lot of attention and consolidation in the field of pattern recognition. With the invention of new and advanced algorithm for the identification of the handwritten characters, now and more heterogeneous handwritten digits data set appears into sight. But the problem lies in the behavior of those handwritten data sets. For deciphering the drawback that handwritten digit data set of different feature can’t compute, we design a more sophisticated handwritten digit representation model based on multiple instance learning(MIL), where a bag contain different digit data from different feature spaces. This paper consist of different approaches to an off line pattern recognition using different machine learning techniques. Several machine learning algorithms like Multilayer Perception, Support Vector Machines, Convolutional Neural Networks, and many more. The main purpose or objective is to recognize the effective and efficient method for recognition of the pattern. The paper shows different classification algorithms have their different accuracy. The process of identification of the symbol and different numbers are generally based on the methods of machine learning. For the initial initialization of the symbols a segment binary image passes a “rough” classification by the Bayesian Network Neural Network are also used for classification using contents. |
| Keywords: | pattern recognition, handwritten recognition, digit recognition, machine learning, classification algorithms |
| Cite Article: | "Image Processing using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.471 - 477, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009078.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR2009078 Registration ID:192517 Published In: Volume 5 Issue 9, September-2020 DOI (Digital Object Identifier): Page No: 471 - 477 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn