Title :
User authentication scheme based on Fast-Walsh Hadamard transform
Author :
Remya, A.R. ; Sreekumar, A.
Author_Institution :
Dept. of Comput. Applic., Cochin Univ. of Sci. & Technol., Kochi, India
Abstract :
User authentication scheme in context of audio can be achieved by labeling the speech signal with key signal dependent physical features. The key features for the development of the label are identified by using the common classification schemes such as ANN, kNN and SVM. The relevant features are given as input to an online QR code generator to obtain the QR code which is employed as the watermark. Using the FWHT transform, speech signal is then labeled and the confirmation along with comparison at the receiving end guarantees speaker authentication.
Keywords :
Hadamard transforms; QR codes; Walsh functions; audio watermarking; encoding; feature extraction; learning (artificial intelligence); message authentication; neural nets; signal classification; speaker recognition; speech processing; support vector machines; ANN; FWHT transform; SVM; artificial neural network; audio watermarking; classification schemes; fast-Walsh Hadamard transform; kNN; kernel nearest neighbour; key signal dependent physical features; online QR code generator; speaker authentication; speech signal labeling; support vector machine; user authentication scheme; Authentication; Feature extraction; Robustness; Speaker recognition; Speech; Transforms; Watermarking; FeatureMark; QR code; audio watermarking; bit error rate; fast Walsh Hadamard transform; integrity; recovery rate; signal processing; speaker authentication; speaker recognition; speech signal; watermarking;
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location :
Nagercoil
DOI :
10.1109/ICCPCT.2015.7159355
