Image Recognition using Machine Learning Application
Keywords:
Image Recognition, Machine Learning, Optical Character RecognitionAbstract
Image Recognition using Machine Learning is a Machine Learning application which can be used for many purposes. In today’s era, we all know that social networking sites have reached its heights. And thus this raises many criminal cases too like hacking other’s 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.
References
- https://en.wikipedia.org/wiki/Machine_learning
- https://www.tensorflow.org/
- https://en.wikipedia.org/wiki/TensorFlow
- https://en.wikipedia.org/wiki/Keras
- https://keras.io
- https://en.wikipedia.org/wiki/Scikit-learn
- http://scikit-learn.org
- https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/
- https://towardsdatascience.com
- https://www.mathworks.com/discovery/image-recognition.html
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.