Cancelable Multi-biometric Template Generation Based on Dual-Tree Complex Wavelet Transform
نویسندگان
چکیده
In this article, we introduce a new cancelable biometric template generation layout depending on selective encryption technology and Dual-Tree Complex Wavelet Transform (DT-CWT) fusion. The input face is entered into the automatic face-segmentation (Viola-Jones) algorithm to detect object in short time. Viola-Jones can left eye, right nose, mouth of image. encoder choose or eye generate template. selected image size M × N XORed with created pseudo-random number (PRN) matrix CM provide an initial primary Arnold Cat Map (ACM) used scramble PRN matri pixel by for keeping values themselves unchanged. Finally, ACM scrambled images are encrypted using Advanced Encryption Standard (AES) database storage. Moreover, Initial Key (IK) AES same person model authentication process IK generated from finger fusion DT-CWT technique. To avoid injury single both right-eye left-eye models developed.
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ژورنال
عنوان ژورنال: Intelligent Automation and Soft Computing
سال: 2022
ISSN: ['2326-005X', '1079-8587']
DOI: https://doi.org/10.32604/iasc.2022.024381