Transformed IRIS Signature fabricated Authentication in Wavelet based Frequency Domain (TISAWFD)
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Abstract
In this paper a wavelet based steganographic technique TISAWFD has been proposed to automatically identify or authenticate prosecute to prevent or investigate crime. Secrete cameras or CCTV is used to take inputs from active mob, then iris of every visible eye are located and captured from where only IRIS are fetched and enhanced through scaling. IRIS are then transformed into signature through Hough transform and hide itself inside the documents/images in any of the three frequency components generated by wavelet transform using a secret key and a hash function. Experimental results are computed and compared with the existing steganographic techniques like PMEDF (Guo, 2011) and JIN’s method (Jin, 2008) in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Standard Deviation (SD) and Image Fidelity (IF) which show better performances in TISAWFD.
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Keywords: Hough Transform (HT); Wavelet; Transformed IRIS Signature fabricated Authentication in Wavelet based Frequency Domain (TISAWFD); Mean Square Error (MSE); Peak Signal to Noise Ratio (PSNR); Image fidelity (IF).
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