Image Recognition using Machine Learning Application

Authors(3) :-Dr. J P Patra, Ajay Singh Thakur, Amit Jain

Image Recognition using Machine Learning is a Machine Learning application which can be used for many purposes. In todayís era, we all know that social networking sites have reached its heights. And thus this raises many criminal cases too like hacking otherís account etc. So, if the feature of face recognition during the login time will be implemented then those cybercrimes will be hampered. Therefore, Image Recognition will be helpful in the field Image and Face-recognition on social networking sites. In addition to that, Self-Driving Cars can also be benefited by Image Recognition as it will scan the images of the roads which will be helpful for determining the path towards the destination in those cars. Moreover, Image Recognition is also useful for making decisions over visual inputs. There can be more applications of the Image Recognition: in the field of Rescaling Image, Correcting Illumination, Detecting License Plate etc. Thus, this application of Machine Learning i.e. the Image Recognition is very much useful technique required by our society having very large number of advantages.

Authors and Affiliations

Dr. J P Patra
Professor, Department of CSE SSIPMT, CSVTU, Raipur, Chhattisgarh, India
Ajay Singh Thakur
Department of Information Technology SSIPMT, Raipur, Chhattisgarh, India
Amit Jain

Image Recognition, Machine Learning, Optical Character Recognition


Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 167-171
Manuscript Number : CSEIT1833192
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. J P Patra, Ajay Singh Thakur, Amit Jain, "Image Recognition using Machine Learning Application", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.167-171, March-April-2018.
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