Optimized Analysis and Storing of Images-QR Code Driven Approach

Authors

  • Thiagarajan Kittapa
  • R.K. Pavithraa
  • S. Mrithul Snehal
  • Anish Anburaja
  • Jayashree

DOI:

https://doi.org/10.59670/ml.v20iS13.6480

Abstract

This Research paper gives a method of storing images and efficient searching method for it using QR Codes [1-3]. QR codes are easily readable by the machines which enables fast response from machines, efficiently giving the desired output. This storage method optimally manages the space required to store an image without any loss of data and it also focuses on the Privacy Specialization for more insight of an image which in turn is an advantage in many fields like crime, archaeology, medical etc., where images are used to reveal useful information for their domain [4-8]. Using image mining the machine can find the relationship between the data of images. It can extract the keen knowledge about the images with the help of image mining we can classify, aggregate, and store the images. In image comparison it compares the details of an image with a large set of images to find the required one quickly and accurately [9-10]. Image mining is an efficient way to access an image and searching the stored images [11].

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Published

2023-12-20

How to Cite

Kittapa, T. ., Pavithraa, R. ., Snehal, S. M. ., Anburaja, A. ., & Jayashree. (2023). Optimized Analysis and Storing of Images-QR Code Driven Approach. Migration Letters, 20(S13), 498–504. https://doi.org/10.59670/ml.v20iS13.6480