Currency Detector Android App

Authors

  • Shraddha Taunk Computer Science and Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India
  • Ashutosh Verma Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India

DOI:

https://doi.org/10.59367/ijfiahm.v1i1.23

Keywords:

Currency recognition, Visually Impaired, Image Processing Technique, Tensor Flow

Abstract

A outwardly disabled individual is somebody who has either a fractional or total misfortune of vision. Recognizing financial notes is straightforward for a ordinary individual, but it isn't so for a outwardly impeded person. They have various challenges in every day exercises, counting money related exchanges. Due to the similitude in paper surface and measure of distinctive sorts of cash notes, they have challenges recognizing between them. Educate like as banks can bear costly innovation to address the issue of money acknowledgment, but the common open, especially the outwardly challenged, cannot. The objective of this project is to help such people and give a cost-effective arrangement. In this extend, the idea of currency acknowledgment software is advertised, which is able help within the identification of different money notes. It is within the shape of android application which employments TensorFlow calculation with offer assistance of picture preparing procedures. This framework, which can be executed using picture handling strategies and will help within the distinguishing proof of cash notes, will be delivered as an Android application.

 

Author Biographies

  • Shraddha Taunk, Computer Science and Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India

     

     

  • Ashutosh Verma, Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India

     

     

References

Suriya Singh, Sushman Choudhary, Kumar Vishal, C. V. Jawahar; Currency Recognition on Mobile Phones (2014)

Sonali Bhagat, Sarika Patil; Indian currency recognition for Visually Disabled People using Image Processing (2016)

Prof. Rajesh Babu, Ms. Monali Patil, Prof. Jayant Adhikari; Fake Currency Detection using Image Processing (2018)

Vedasamhitha Abburu, Saumya Gupta, S. R. Rimitha, Manjunath Mulimani, Shashidhar G. Koolagudi; Currency Recognition System using Image Processing (2017)

Shubham Mittal, Shiva Mittal; Indian Banknote Recognition using Convolution Neural Network (2018)

https://www.tensorflow.org/lite/tutorials/model_maker_image_classif ication

Published

2022-09-20

Issue

Section

Articles

How to Cite

Currency Detector Android App. (2022). International Journal of Futuristic Innovation in Arts, Humanities and Management (IJFIAHM), 1(1), 16-19. https://doi.org/10.59367/ijfiahm.v1i1.23

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