Encoding Audio with DWT-Base64 for QR Code Embedded Secure Transmission

Authors

  • Mr. Harshit Singh, DAYANIDHI, Saurabh Chaturvedi, Shivam Singh, Amar Pal Yadav,Vikas

DOI:

https://doi.org/10.48047/resmil.v13i4.4536

Keywords:

QR code, Audio; Discrete wavelet transform (DCT); Discrete cosine transform (DWT); Genetic Algorithm (GA); Base-64; zxing.

Abstract

Quick Response (QR) code is one type of barcode that is two-dimensional, and it is in the form of matrix code. QR code has many advantages over the one-dimensional bar code. The QR Code is prepared to be watermarked via a robust audio watermarking scheme. This research paper provides information about data hiding, audio compression, extraction data from QR code and study about the different techniques of that. Several techniques are used for data hiding and audio compression. In this separate encoder and decoder are prepared. Also, quality of the audio signal will be improved using various algorithms in this research paper. The text embedding in the QR code is complex task because embedded result should be decodable by standard decoding applications and can be applied to any audio with full area coverage

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Published

2023-12-20

How to Cite

Mr. Harshit Singh, DAYANIDHI, Saurabh Chaturvedi, Shivam Singh, Amar Pal Yadav,Vikas. (2023). Encoding Audio with DWT-Base64 for QR Code Embedded Secure Transmission. RES MILITARIS, 13(4), 900–906. https://doi.org/10.48047/resmil.v13i4.4536